академия информационных систем

Сортировать:
		Array
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            [0] => 2020-07-05 23:59:59
            [1] => 
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Array
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                    [6] => SPECIALOFFER
                    [7] => 
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            [DISPLAY_BOTTOM_PAGER] => Y
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            [PAGER_DESC_NUMBERING_CACHE_TIME] => 36000000
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                    [1] => SIZES_CLOTHES
                    [2] => COLOR_REF
                    [3] => 
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            [RELATIVE_QUANTITY_FACTOR] => 
            [MESS_RELATIVE_QUANTITY_MANY] => 
            [MESS_RELATIVE_QUANTITY_FEW] => 
            [MESS_BTN_BUY] => Купить
            [MESS_BTN_ADD_TO_BASKET] => В корзину
            [MESS_BTN_SUBSCRIBE] => Подписаться
            [MESS_BTN_DETAIL] => Подробнее
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            [MESS_BTN_COMPARE] => Сравнение
            [USE_ENHANCED_ECOMMERCE] => N
            [DATA_LAYER_NAME] => 
            [BRAND_PROPERTY] => 
            [TEMPLATE_THEME] => site
            [ADD_SECTIONS_CHAIN] => Y
            [ADD_TO_BASKET_ACTION] => ADD
            [SHOW_CLOSE_POPUP] => N
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            [DISABLE_INIT_JS_IN_COMPONENT] => N
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                        (
                            [0] => 2020-07-05 23:59:59
                            [1] => 
                        )

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    [TIMESTAMP_X] => 17.07.2019 12:41:04
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    [DESCRIPTION] => 
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    [DESCRIPTION_TYPE] => text
    [~DESCRIPTION_TYPE] => text
    [SEARCHABLE_CONTENT] => МАШИННОЕ ОБУЧЕНИЕ

    [~SEARCHABLE_CONTENT] => МАШИННОЕ ОБУЧЕНИЕ

    [CODE] => mashinnoe_obuchenie
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    [~LIST_PAGE_URL] => /courses/
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    [UF_META_DESCRIPTION] => 
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                    [ID] => 17
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                    [CODE] => tekhnologii
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                            [ELEMENT_META_KEYWORDS] => Информационные технологии, купить учебный курс Информационные технологии, приобрести учебный курс Информационные технологии, Информационные технологии в Академия Информационных Систем
                            [ELEMENT_META_DESCRIPTION] => Академия Информационных Систем собраны учебные курсы, где не последняя роль отведена Информационные технологии
                            [ELEMENT_DETAIL_PICTURE_FILE_TITLE] => картинка Информационные технологии в Академия Информационных Систем
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                            [SECTION_META_KEYWORDS] => Информационные технологии, купить учебный курс Информационные технологии, приобрести учебный курс Информационные технологии, Информационные технологии от Академия Информационных Систем
                            [ELEMENT_PREVIEW_PICTURE_FILE_NAME] => informatsionnye-tekhnologii
                            [SECTION_META_TITLE] => Обучение по направлению Информационные технологии 
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                            [SECTION_PAGE_TITLE] => Курсы по направлению Информационные технологии
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                    [CODE] => mashinnoe_obuchenie
                    [~CODE] => mashinnoe_obuchenie
                    [XML_ID] => 
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                    [IBLOCK_ID] => 2
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                    [SORT] => 500
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                    [NAME] => Машинное обучение
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                    [ACTIVE] => Y
                    [~ACTIVE] => Y
                    [DEPTH_LEVEL] => 2
                    [~DEPTH_LEVEL] => 2
                    [SECTION_PAGE_URL] => /courses/mashinnoe_obuchenie/
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                            [ELEMENT_META_KEYWORDS] => Машинное обучение, купить учебный курс Машинное обучение, приобрести учебный курс Машинное обучение, Машинное обучение в Академия Информационных Систем
                            [ELEMENT_META_DESCRIPTION] => Академия Информационных Систем собраны учебные курсы, где не последняя роль отведена Машинное обучение
                            [ELEMENT_DETAIL_PICTURE_FILE_TITLE] => картинка Машинное обучение в Академия Информационных Систем
                            [ELEMENT_DETAIL_PICTURE_FILE_NAME] => mashinnoe-obuchenie
                            [ELEMENT_DETAIL_PICTURE_FILE_ALT] => Машинное обучение
                            [ELEMENT_PREVIEW_PICTURE_FILE_TITLE] => картинка Машинное обучение в Академия Информационных Систем
                            [ELEMENT_PREVIEW_PICTURE_FILE_ALT] => Машинное обучение
                            [SECTION_META_KEYWORDS] => Машинное обучение, купить учебный курс Машинное обучение, приобрести учебный курс Машинное обучение, Машинное обучение от Академия Информационных Систем
                            [ELEMENT_PREVIEW_PICTURE_FILE_NAME] => mashinnoe-obuchenie
                            [SECTION_META_TITLE] => Обучение по направлению Информационные технологии 
                            [SECTION_META_DESCRIPTION] => Авторизованные и авторские курсы для пользователей и администраторов по информационным технологиям (ИТ), программной инженерии, разработке ПО, импортозамещению.
                            [SECTION_PAGE_TITLE] => Машинное обучение
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            [ELEMENT_META_KEYWORDS] => Машинное обучение, купить учебный курс Машинное обучение, приобрести учебный курс Машинное обучение, Машинное обучение в Академия Информационных Систем
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            [ELEMENT_DETAIL_PICTURE_FILE_ALT] => Машинное обучение
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            [SECTION_META_TITLE] => Обучение по направлению Информационные технологии 
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                            [IBLOCK_ID] => 2
                            [CODE] => osnovy_mashinnogo_obucheniya_i_neyronnykh_setey
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                            [NAME] => Основы машинного обучения и нейронных сетей
                            [ACTIVE] => Y
                            [DATE_ACTIVE_FROM] => 
                            [DATE_ACTIVE_TO] => 
                            [SORT] => 500
                            [PREVIEW_TEXT] => 
Программа предназначена для управленцев среднего звена и выше. Рассматриваются основы работы с данными, а также роли в команде, занимающийся такими проектами. Дается базовое представление об основных этапах работы, построении и верификации моделей, а также сценариям использования результатов. Отдельное внимание уделено современному инструментарию и лабораторным работам.

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Современные компании с большим количеством пользователей и клиентов имеют дело с огромными объемами данный. Традиционные парадигмы обработки/хранения/предоставления/анализа данных не подходят, когда объемы данных составляют сотни терабайт и они являются неструктуарованными. И здесь приходят на помощь технологии Big Data и машинного обучения, которые позволяют с использованием ряда фреймворков разработанных Google и Apache обеспечить работу и анализ таких объемов информации в заданные временные интервалы. К сожалению многие компании реализующие такие технологии не задумываются о вопросах безопасности в результате чего это приводит к утечкам и скандалам.

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Современные компании с большим количеством пользователей и клиентов имеют дело с огромными объемами данных. Традиционные парадигмы обработки/хранения/предоставления/анализа данных не подходят, когда объемы данных составляют сотни терабайт и они являются неструктурированными. И здесь приходят на помощь технологии Big Data и машинного обучения, которые позволяют с использованием ряда фреймворков разработанных Google и Apache обеспечить работу и анализ таких объемов информации в заданные временные интервалы. К сожалению многие компании реализующие такие технологии не задумываются о вопросах безопасности в результате чего это приводит к утечкам и скандалам.

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Программа предназначена для управленцев среднего звена и выше. Рассматриваются основы работы с данными, а также роли в команде, занимающийся такими проектами. Дается базовое представление об основных этапах работы, построении и верификации моделей, а также сценариям использования результатов. Отдельное внимание уделено современному инструментарию и лабораторным работам.

[~PREVIEW_TEXT] =>
Программа предназначена для управленцев среднего звена и выше. Рассматриваются основы работы с данными, а также роли в команде, занимающийся такими проектами. Дается базовое представление об основных этапах работы, построении и верификации моделей, а также сценариям использования результатов. Отдельное внимание уделено современному инструментарию и лабораторным работам.

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классы алгоритмов и разбор конкретных алгоритмов;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Обучение без учителя: классы алгоритмов и разбор конкретных алгоритмов;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Обучение с подкреплением: классы алгоритмов и разбор конкретных алгоритмов;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Повышение и понижение размерности</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Демонстрация: создание модели (предсказание цены)</span></h3> </li> <li> <h3><span style="font-size: 11pt;"> Data Science - процесс:</span></h3> <ul> <li> <h3><span style="font-size: 10pt;">Поиск и источники данных;</span></h3> </li> <li> <h3><span style="font-size: 10pt;">Препроцессинг данных;</span></h3> </li> <li> <h3><span style="font-size: 10pt;">Дизайн признаков (feature engineering);</span></h3> </li> <li> <h3><span style="font-size: 10pt;">Выбор подходящего ML-алгоритма;</span></h3> </li> <li> <h3><span style="font-size: 10pt;"> Тренировка модели.</span></h3> </li> </ul> </li> <li> <h3><span style="font-size: 11pt;">Оценка результата:</span></h3> <ul> <li> <h3><span style="font-size: 10pt;"> Базовые метрики;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;"> Агрегирующие метрики.</span></h3> </li> </ul> </li> <li> <h3><span style="font-size: 11pt;">Обогащение данных:</span></h3> <ul> <li> <h3><span style="font-size: 10pt;">Открытые источники;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Внутренние ресурсы.</span></h3> </li> </ul> </li> <li> <h3><span style="font-size: 11pt;">Data science инструменты: основные языки программирования, ML-фреймворки и облачные сервисы</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Практика: создание ML-модели с использованием облачного сервиса.</span></h3> </li> </ul> [TYPE] => HTML ) [1] => Array ( [TEXT] => <ul> <li> <h3><span style="font-size: 11pt;">Основная терминология, область применения и актуальность;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Основы нейронных сетей. Персептрон;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Современные нейросетевые архитектуры;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Сверточные нейронные сети;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Рекуррентные нейронные сети;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Автоэнкодеры;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Data science инструменты: DL-фреймворки;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;"> Практика/демонстрация:</span></h3> <ul> <li> <h3><span style="font-size: 10pt;">Основы python;</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;"> Самостоятельная лабораторная работа (распознавание изображений с помощью нейронных сетей);</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Обучение при распознавании изображений с помощью нейронных сетей.</span></h3> </li> </ul> [TYPE] => HTML ) [2] => Array ( [TEXT] => <ul> <li> <h3><span style="font-size: 11pt;">Постановка задач</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Команда</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Методологии (CRISP)</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Интеграция в существующие процессы компании</span></h3> </li> </ul> [TYPE] => HTML ) ) [PROPERTY_VALUE_ID] => Array ( [0] => 31606 [1] => 31653 [2] => 31663 ) [DESCRIPTION] => Array ( [0] => Введение в машинное обучение (Machine Learning, ML) [1] => Введение в глубокое обучение (Deep Learning, DL) [2] => Управление Data Science-процессом ) [~VALUE] => Array ( [0] => Array ( [TEXT] =>
  • Основная терминология, область применения и актуальность;

  • Типовые ML задачи;

  • Обучение с учителем: классы алгоритмов и разбор конкретных алгоритмов;

  • Обучение без учителя: классы алгоритмов и разбор конкретных алгоритмов;

  • Обучение с подкреплением: классы алгоритмов и разбор конкретных алгоритмов;

  • Повышение и понижение размерности

  • Демонстрация: создание модели (предсказание цены)

  • Data Science - процесс:

    • Поиск и источники данных;

    • Препроцессинг данных;

    • Дизайн признаков (feature engineering);

    • Выбор подходящего ML-алгоритма;

    • Тренировка модели.

  • Оценка результата:

    • Базовые метрики;

    • Агрегирующие метрики.

  • Обогащение данных:

    • Открытые источники;

    • Внутренние ресурсы.

  • Data science инструменты: основные языки программирования, ML-фреймворки и облачные сервисы

  • Практика: создание ML-модели с использованием облачного сервиса.

[TYPE] => HTML ) [1] => Array ( [TEXT] =>
  • Основная терминология, область применения и актуальность;

  • Основы нейронных сетей. Персептрон;

  • Современные нейросетевые архитектуры;

  • Сверточные нейронные сети;

  • Рекуррентные нейронные сети;

  • Автоэнкодеры;

  • Data science инструменты: DL-фреймворки;

  • Практика/демонстрация:

    • Основы python;

    • Самостоятельная лабораторная работа (распознавание изображений с помощью нейронных сетей);

    • Обучение при распознавании изображений с помощью нейронных сетей.

    [TYPE] => HTML ) [2] => Array ( [TEXT] =>
    • Постановка задач

    • Команда

    • Методологии (CRISP)

    • Интеграция в существующие процессы компании

    [TYPE] => HTML ) ) [~DESCRIPTION] => Array ( [0] => Введение в машинное обучение (Machine Learning, ML) [1] => Введение в глубокое обучение (Deep Learning, DL) [2] => Управление Data Science-процессом ) ) [BENEFITS] => Array ( [ID] => 76 [IBLOCK_ID] => 2 [NAME] => Преимущества курса [ACTIVE] => Y [SORT] => 103 [CODE] => BENEFITS [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Преимущества курса [~DEFAULT_VALUE] => [VALUE_ENUM] => Array ( [0] => Электронные документы [1] => Обед [2] => Кофе брейк ) [VALUE_XML_ID] => Array ( [0] => BENEFITS_4 [1] => BENEFITS_2 [2] => BENEFITS_1 ) [VALUE_SORT] => Array ( [0] => 20 [1] => 40 [2] => 50 ) [VALUE] => Array ( [0] => Электронные документы [1] => Обед [2] => Кофе брейк ) [PROPERTY_VALUE_ID] => Array ( [0] => 64916 [1] => 64915 [2] => 64914 ) [VALUE_ENUM_ID] => Array ( [0] => 24 [1] => 22 [2] => 21 ) [DESCRIPTION] => Array ( [0] => [1] => [2] => ) [~VALUE] => Array ( [0] => Электронные документы [1] => Обед [2] => Кофе брейк ) [~DESCRIPTION] => Array ( [0] => [1] => [2] => ) ) [EXPERTS] => Array ( [ID] => 54 [IBLOCK_ID] => 2 [NAME] => Преподаватели [ACTIVE] => Y [SORT] => 105 [CODE] => EXPERTS [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 1 [LINK_IBLOCK_ID] => 4 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Преподаватели [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [HANDOUT] => Array ( [ID] => 56 [IBLOCK_ID] => 2 [NAME] => Раздаточный материал [ACTIVE] => Y [SORT] => 107 [CODE] => HANDOUT [DEFAULT_VALUE] => [PROPERTY_TYPE] => F [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => doc, txt, rtf, pdf [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => Y [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Раздаточный материал [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [RECEIVED] => Array ( [ID] => 55 [IBLOCK_ID] => 2 [NAME] => Получаемый документ [ACTIVE] => Y [SORT] => 110 [CODE] => RECEIVED [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 1 [LINK_IBLOCK_ID] => 12 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Получаемый документ [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => 173 ) [PROPERTY_VALUE_ID] => Array ( [0] => 31654 ) [DESCRIPTION] => Array ( [0] => ) [~VALUE] => Array ( [0] => 173 ) [~DESCRIPTION] => Array ( [0] => ) ) [TITLE] => Array ( [ID] => 2 [IBLOCK_ID] => 2 [NAME] => Заголовок окна браузера [ACTIVE] => Y [SORT] => 120 [CODE] => TITLE [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 50 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 331 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Заголовок окна браузера [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [KEYWORDS] => Array ( [ID] => 3 [IBLOCK_ID] => 2 [NAME] => Ключевые слова [ACTIVE] => Y [SORT] => 125 [CODE] => KEYWORDS [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 50 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 335 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Ключевые слова [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [META_DESCRIPTION] => Array ( [ID] => 4 [IBLOCK_ID] => 2 [NAME] => Мета-описание [ACTIVE] => Y [SORT] => 130 [CODE] => META_DESCRIPTION [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 3 [COL_COUNT] => 38 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 337 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Мета-описание [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [NEWPRODUCT] => Array ( [ID] => 6 [IBLOCK_ID] => 2 [NAME] => Новинка [ACTIVE] => Y [SORT] => 210 [CODE] => NEWPRODUCT [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => af49d0e309af4fac506a8a228000efc5 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => Y [FILTRABLE] => Y [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Новинка [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) [SALELEADER] => Array ( [ID] => 7 [IBLOCK_ID] => 2 [NAME] => Лидер продаж [ACTIVE] => Y [SORT] => 220 [CODE] => SALELEADER [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => 103 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => Y [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Лидер продаж [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) [SPECIALOFFER] => Array ( [ID] => 8 [IBLOCK_ID] => 2 [NAME] => Рекомендуемый курс раздела [ACTIVE] => Y [SORT] => 230 [CODE] => SPECIALOFFER [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => 5 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => Y [FILTRABLE] => Y [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Рекомендуемый курс раздела [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) [MANAGER] => Array ( [ID] => 75 [IBLOCK_ID] => 2 [NAME] => Менеджер [ACTIVE] => Y [SORT] => 305 [CODE] => MANAGER [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 14 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Менеджер [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => 1586 [PROPERTY_VALUE_ID] => 31656 [DESCRIPTION] => [~VALUE] => 1586 [~DESCRIPTION] => ) [ARTNUMBER] => Array ( [ID] => 9 [IBLOCK_ID] => 2 [NAME] => Артикул, Код [ACTIVE] => Y [SORT] => 310 [CODE] => ARTNUMBER [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 10 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => Y [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Артикул, Код [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => DO002 [PROPERTY_VALUE_ID] => 52794 [DESCRIPTION] => [~VALUE] => DO002 [~DESCRIPTION] => ) [RECOMMEND] => Array ( [ID] => 14 [IBLOCK_ID] => 2 [NAME] => С этим курсом рекомендуем [ACTIVE] => Y [SORT] => 320 [CODE] => RECOMMEND [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => 461 [FILE_TYPE] => [MULTIPLE_CNT] => 4 [LINK_IBLOCK_ID] => 2 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => С этим курсом рекомендуем [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => 1284 [1] => 1283 ) [PROPERTY_VALUE_ID] => Array ( [0] => 31711 [1] => 31712 ) [DESCRIPTION] => Array ( [0] => [1] => ) [~VALUE] => Array ( [0] => 1284 [1] => 1283 ) [~DESCRIPTION] => Array ( [0] => [1] => ) ) [BONUS] => Array ( [ID] => 91 [IBLOCK_ID] => 2 [NAME] => Бонус [ACTIVE] => Y [SORT] => 330 [CODE] => BONUS [DEFAULT_VALUE] => [PROPERTY_TYPE] => N [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Бонус [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [NUMBER_REVIEWS] => Array ( [ID] => 15 [IBLOCK_ID] => 2 [NAME] => Количество отзывов [ACTIVE] => Y [SORT] => 350 [CODE] => NUMBER_REVIEWS [DEFAULT_VALUE] => [PROPERTY_TYPE] => N [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 37 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Количество отзывов [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [BLOG_POST_ID] => Array ( [ID] => 50 [IBLOCK_ID] => 2 [NAME] => ID поста блога для комментариев [ACTIVE] => Y [SORT] => 500 [CODE] => BLOG_POST_ID [DEFAULT_VALUE] => [PROPERTY_TYPE] => N [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => ID поста блога для комментариев [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [BLOG_COMMENTS_CNT] => Array ( [ID] => 51 [IBLOCK_ID] => 2 [NAME] => Количество комментариев [ACTIVE] => Y [SORT] => 500 [CODE] => BLOG_COMMENTS_CNT [DEFAULT_VALUE] => [PROPERTY_TYPE] => N [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Количество комментариев [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [BUTTON_CODE] => Array ( [ID] => 100 [IBLOCK_ID] => 2 [NAME] => Код кнопки [ACTIVE] => Y [SORT] => 500 [CODE] => BUTTON_CODE [DEFAULT_VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => HTML [USER_TYPE_SETTINGS] => Array ( [height] => 200 ) [HINT] => [~NAME] => Код кнопки [~DEFAULT_VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [TYPE] => HTML [TEXT] => <script id="bx24_form_button" data-skip-moving="true"> (function(w,d,u,b){w['Bitrix24FormObject']=b;w[b] = w[b] || function(){arguments[0].ref=u; (w[b].forms=w[b].forms||[]).push(arguments[0])}; if(w[b]['forms']) return; var s=d.createElement('script');s.async=1;s.src=u+'?'+(1*new Date()); var h=d.getElementsByTagName('script')[0];h.parentNode.insertBefore(s,h); })(window,document,'https://b24ais.ru/bitrix/js/crm/form_loader.js','b24form'); b24form({"id":"9","lang":"ru","sec":"m60a01","type":"button","click":""}); </script><button class="b24-web-form-popup-btn-9"> Оставить заявку</button> ) [PROPERTY_VALUE_ID] => 31717 [DESCRIPTION] => [~VALUE] => Array ( [TYPE] => HTML [TEXT] => ) [~DESCRIPTION] => ) [DURATION_FOR_PROGRAMM] => Array ( [ID] => 102 [IBLOCK_ID] => 2 [NAME] => Продолжительность для программы [ACTIVE] => Y [SORT] => 500 [CODE] => DURATION_FOR_PROGRAMM [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Продолжительность для программы [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => 8 ч. [1] => 4 ч. [2] => 4 ч. ) [PROPERTY_VALUE_ID] => Array ( [0] => 31660 [1] => 31668 [2] => 31669 ) [DESCRIPTION] => Array ( [0] => [1] => [2] => ) [~VALUE] => Array ( [0] => 8 ч. [1] => 4 ч. [2] => 4 ч. ) [~DESCRIPTION] => Array ( [0] => [1] => [2] => ) ) [KP_BUTTON_CODE] => Array ( [ID] => 106 [IBLOCK_ID] => 2 [NAME] => Код формы коммерческого предложения [ACTIVE] => Y [SORT] => 500 [CODE] => KP_BUTTON_CODE [DEFAULT_VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => HTML [USER_TYPE_SETTINGS] => Array ( [height] => 200 ) [HINT] => [~NAME] => Код формы коммерческого предложения [~DEFAULT_VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [TYPE] => HTML [TEXT] => <script id="bx24_form_button" data-skip-moving="true"> (function(w,d,u,b){w['Bitrix24FormObject']=b;w[b] = w[b] || function(){arguments[0].ref=u; (w[b].forms=w[b].forms||[]).push(arguments[0])}; if(w[b]['forms']) return; var s=d.createElement('script');s.async=1;s.src=u+'?'+(1*new Date()); var h=d.getElementsByTagName('script')[0];h.parentNode.insertBefore(s,h); })(window,document,'https://b24ais.ru/bitrix/js/crm/form_loader.js','b24form'); b24form({"id":"29","lang":"ru","sec":"3o8k29","type":"button","click":""}); </script><button class="b24-web-form-popup-btn-29"> Получить коммерческое предложение </button> ) [PROPERTY_VALUE_ID] => 31718 [DESCRIPTION] => [~VALUE] => Array ( [TYPE] => HTML [TEXT] => ) [~DESCRIPTION] => ) [VENDOR] => Array ( [ID] => 107 [IBLOCK_ID] => 2 [NAME] => Вендор [ACTIVE] => Y [SORT] => 500 [CODE] => VENDOR [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 27 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Вендор [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => 1240 [PROPERTY_VALUE_ID] => 31661 [DESCRIPTION] => [~VALUE] => 1240 [~DESCRIPTION] => ) [DISTANCE_LINK] => Array ( [ID] => 108 [IBLOCK_ID] => 2 [NAME] => Ссылка для кнопки "дистанционное участие" промо - круса [ACTIVE] => Y [SORT] => 500 [CODE] => DISTANCE_LINK [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Ссылка для кнопки "дистанционное участие" промо - круса [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [IS_PROMO] => Array ( [ID] => 109 [IBLOCK_ID] => 2 [NAME] => Является промо-курсом [ACTIVE] => Y [SORT] => 500 [CODE] => IS_PROMO [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Является промо-курсом [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) [TITLE_EVENT] => Array ( [ID] => 111 [IBLOCK_ID] => 2 [NAME] => Заголовки к полям "Программа мероприятия" (в том же порядке) [ACTIVE] => Y [SORT] => 500 [CODE] => TITLE_EVENT [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Заголовки к полям "Программа мероприятия" (в том же порядке) [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [FORM_TRAINING_NEW] => Array ( [ID] => 112 [IBLOCK_ID] => 2 [NAME] => Форма обучения (новая) [ACTIVE] => Y [SORT] => 500 [CODE] => FORM_TRAINING_NEW [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Форма обучения (новая) [~DEFAULT_VALUE] => [VALUE_ENUM] => Очно/Дистанционно [VALUE_XML_ID] => mixed [VALUE_SORT] => 500 [VALUE] => Очно/Дистанционно [PROPERTY_VALUE_ID] => 64917 [VALUE_ENUM_ID] => 27 [DESCRIPTION] => [~VALUE] => Очно/Дистанционно [~DESCRIPTION] 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    Современные компании с большим количеством пользователей и клиентов имеют дело с огромными объемами данный. Традиционные парадигмы обработки/хранения/предоставления/анализа данных не подходят, когда объемы данных составляют сотни терабайт и они являются неструктуарованными. И здесь приходят на помощь технологии Big Data и машинного обучения, которые позволяют с использованием ряда фреймворков разработанных Google и Apache обеспечить работу и анализ таких объемов информации в заданные временные интервалы. К сожалению многие компании реализующие такие технологии не задумываются о вопросах безопасности в результате чего это приводит к утечкам и скандалам.

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    Современные компании с большим количеством пользователей и клиентов имеют дело с огромными объемами данный. Традиционные парадигмы обработки/хранения/предоставления/анализа данных не подходят, когда объемы данных составляют сотни терабайт и они являются неструктуарованными. И здесь приходят на помощь технологии Big Data и машинного обучения, которые позволяют с использованием ряда фреймворков разработанных Google и Apache обеспечить работу и анализ таких объемов информации в заданные временные интервалы. К сожалению многие компании реализующие такие технологии не задумываются о вопросах безопасности в результате чего это приводит к утечкам и скандалам.

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[USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Даты проведения, расписание [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => 30.11.2020 15:48:00 [1] => 04.12.2020 15:48:00 ) [PROPERTY_VALUE_ID] => Array ( [0] => 71110 [1] => 71111 ) [DESCRIPTION] => Array ( [0] => [1] => ) [~VALUE] => Array ( [0] => 30.11.2020 15:48:00 [1] => 04.12.2020 15:48:00 ) [~DESCRIPTION] => Array ( [0] => [1] => ) ) [DURATION] => Array ( [ID] => 57 [IBLOCK_ID] => 2 [NAME] => Продолжительность [ACTIVE] => Y [SORT] => 20 [CODE] => DURATION [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 1 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Продолжительность [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => 5 дней 40 ак.часов ) [PROPERTY_VALUE_ID] => Array ( [0] => 31388 ) [DESCRIPTION] => Array ( [0] => ) [~VALUE] => Array ( [0] => 5 дней 40 ак.часов ) [~DESCRIPTION] => Array ( [0] => ) ) [FORM_TRAINING] => Array ( [ID] => 58 [IBLOCK_ID] => 2 [NAME] => Форма обучения [ACTIVE] => Y [SORT] => 25 [CODE] => FORM_TRAINING [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Форма обучения [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [METOD_TEACHING] => Array ( [ID] => 59 [IBLOCK_ID] => 2 [NAME] => Метод обучения [ACTIVE] => Y [SORT] => 30 [CODE] => METOD_TEACHING [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Метод обучения [~DEFAULT_VALUE] => [VALUE_ENUM] => Array ( [0] => В аудитории ) [VALUE_XML_ID] => Array ( [0] => audience_method ) [VALUE_SORT] => Array ( [0] => 150 ) [VALUE] => Array ( [0] => В аудитории ) [PROPERTY_VALUE_ID] => Array ( [0] => 69491 ) [VALUE_ENUM_ID] => Array ( [0] => 20 ) [DESCRIPTION] => Array ( [0] => ) [~VALUE] => Array ( [0] => В аудитории ) [~DESCRIPTION] => Array ( [0] => ) ) [DURATION_SPISOK] => Array ( [ID] => 113 [IBLOCK_ID] => 2 [NAME] => Продолжительность список [ACTIVE] => Y [SORT] => 31 [CODE] => DURATION_SPISOK [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Продолжительность список [~DEFAULT_VALUE] => [VALUE_ENUM] => 5 дней 40 ак.часов [VALUE_XML_ID] => 8e7738d330125e16803a77c0ddebccff [VALUE_SORT] => 515 [VALUE] => 5 дней 40 ак.часов [PROPERTY_VALUE_ID] => 69496 [VALUE_ENUM_ID] => 40 [DESCRIPTION] => [~VALUE] => 5 дней 40 ак.часов [~DESCRIPTION] => ) [YOUTUBE] => Array ( [ID] => 60 [IBLOCK_ID] => 2 [NAME] => Видео описание курса [ACTIVE] => Y [SORT] => 35 [CODE] => YOUTUBE [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Видео описание курса [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [LECTURE] => Array ( [ID] => 52 [IBLOCK_ID] => 2 [NAME] => Целевая аудитория [ACTIVE] => Y [SORT] => 100 [CODE] => LECTURE [DEFAULT_VALUE] => Array ( [TYPE] => TEXT [TEXT] => ) [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => HTML [USER_TYPE_SETTINGS] => Array ( [height] => 30 ) [HINT] => [~NAME] => Целевая аудитория [~DEFAULT_VALUE] => Array ( [TYPE] => TEXT [TEXT] => ) [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [TEXT] => Программа предназначена для управленцев среднего звена и выше. Будет полезна для тех, кто планирует внедрение технологии в организации. [TYPE] => TEXT ) [PROPERTY_VALUE_ID] => 31386 [DESCRIPTION] => [~VALUE] => Array ( [TEXT] => Программа предназначена для управленцев среднего звена и выше. Будет полезна для тех, кто планирует внедрение технологии в организации. [TYPE] => TEXT ) [~DESCRIPTION] => ) [PROG_EVENT] => Array ( [ID] => 53 [IBLOCK_ID] => 2 [NAME] => Программа мероприятия [ACTIVE] => Y [SORT] => 102 [CODE] => PROG_EVENT [DEFAULT_VALUE] => Array ( [TYPE] => HTML [TEXT] => ) [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 4 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => Y [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => HTML [USER_TYPE_SETTINGS] => Array ( [height] => 200 ) [HINT] => [~NAME] => Программа мероприятия [~DEFAULT_VALUE] => Array ( [TYPE] => HTML [TEXT] => ) [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => Array ( [TEXT] => <ul> <li> <h3><span style="font-size: 10pt;">Цели и задачи курса.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Основные понятия и определения.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">История науки о данных (Data Science). Особенности развития Data Science в настоящее время.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;"> Большие данные и цифровая трансформация.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Эффективное использование данных в организации.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Различные подходы к управлению (Data-Driven и DataInformed).</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Data-Driven культура (данные как стратегический ресурс).</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Использование Data-Driven подхода. Выгоды от работы с большими данными.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Основные области применения больших данных.</span></h3> </li> </ul> [TYPE] => HTML ) [1] => Array ( [TEXT] => <ul> <li> <h3><span style="font-size: 10pt;">Основные принципы работы с Big Data.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Интеграция больших данных. Источники данных (реляционные, не реляционные, предметно ориентированные информационные базы данных). Data Lake.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Импорт и экспорт данных: SQL и NoSQL базы данных, потоковые данные, файловые системы (HDFS, NFS), webcontent, социальные сети.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Пакетная и динамическая (batch / real-time) загрузка данных.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Типовые задачи аналитики больших данных.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;"> Методы аналитики Big Data. Подход MapReduce.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Жизненный цикл аналитики данных: получение и накопление данных, подготовка данных, планирование модели, построение модели, проверка результатов, внедрение.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;"> Использование анализа больших данных для повышения эффективности бизнес процессов.</span></h3> </li> </ul> [TYPE] => HTML ) [2] => Array ( [TEXT] => <ul> <li> <h3><span style="font-size: 11pt;"><b>Особенности применения аналитики для Big Data</b> </span></h3> <ul> <li> Статистические методы и методы интеллектуального анализа данных (Data Mining).</li> <li>Отличия методов Data Mining от статистических методов.</li> <li>Задачи и этапы Data Mining.</li> <li>Организационные и человеческие факторы в Data Mining. Методология CRISP-DM (Cross-Industry Standard Process for Data Mining) с точки зрения разработки модели с учетом требований информационной безопасности.</li> </ul> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;"><b>Инструментарий для работы с Big Data и проблемы информационной безопасности в ходе использования</b> </span></h3> <ul> <li> Инструменты для анализа данных и машинного обучения (Библиотеки, Фреймворки, Базы данных, Аналитические платформы) и их уязвимости. </li> <li>Распределенные вычисления и экосистема Apache Hadoop. Назначение и характеристика компонент Hadoop для хранения и обработки Big Data. </li> <li>Основные уязвимости компонентов Hadoop и угрозы безопасности платформы.</li> <li>Подход к моделированию угроз при анализе угроз платформы</li> <li>Настройка механизмов безопасности для компонентов Hadoop. </li> <li>Применение облачных технологий (платформы AWS, Azure) для реализации решений Big Data и вопросы, связанные с безопасностью при переходе в облако.</li> </ul> </li> </ul> <ul> </ul> [TYPE] => HTML ) [3] => Array ( [TEXT] => <ul> <li> <h3><span style="font-size: 10pt;">Сравнительные характеристики программных и аппаратных решений для реализации решений Big Data с учетом вопросов ИБ.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Big Data Infrastructure Landscape 2019.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Big Data Infrastructure Service Providers 2019.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Big Data Analytics Landscape 2019.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;"> Big Data Enterprise Level Applications Landscape 2019.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Итоговая аттестация</span></h3> </li> </ul> [TYPE] => HTML ) ) [PROPERTY_VALUE_ID] => Array ( [0] => 31387 [1] => 31398 [2] => 31419 [3] => 31429 ) [DESCRIPTION] => Array ( [0] => Введение в большие данные (Big Data) [1] => Специфика работы с большими данными [2] => Технологии больших данных. [3] => Тенденции развития техник и технологий обеспечения безопасности решений Big Data. ) [~VALUE] => Array ( [0] => Array ( [TEXT] =>
    • Цели и задачи курса.

    • Основные понятия и определения.

    • История науки о данных (Data Science). Особенности развития Data Science в настоящее время.

    • Большие данные и цифровая трансформация.

    • Эффективное использование данных в организации.

    • Различные подходы к управлению (Data-Driven и DataInformed).

    • Data-Driven культура (данные как стратегический ресурс).

    • Использование Data-Driven подхода. Выгоды от работы с большими данными.

    • Основные области применения больших данных.

    [TYPE] => HTML ) [1] => Array ( [TEXT] =>
    • Основные принципы работы с Big Data.

    • Интеграция больших данных. Источники данных (реляционные, не реляционные, предметно ориентированные информационные базы данных). Data Lake.

    • Импорт и экспорт данных: SQL и NoSQL базы данных, потоковые данные, файловые системы (HDFS, NFS), webcontent, социальные сети.

    • Пакетная и динамическая (batch / real-time) загрузка данных.

    • Типовые задачи аналитики больших данных.

    • Методы аналитики Big Data. Подход MapReduce.

    • Жизненный цикл аналитики данных: получение и накопление данных, подготовка данных, планирование модели, построение модели, проверка результатов, внедрение.

    • Использование анализа больших данных для повышения эффективности бизнес процессов.

    [TYPE] => HTML ) [2] => Array ( [TEXT] =>
    • Особенности применения аналитики для Big Data

      • Статистические методы и методы интеллектуального анализа данных (Data Mining).
      • Отличия методов Data Mining от статистических методов.
      • Задачи и этапы Data Mining.
      • Организационные и человеческие факторы в Data Mining. Методология CRISP-DM (Cross-Industry Standard Process for Data Mining) с точки зрения разработки модели с учетом требований информационной безопасности.
    • Инструментарий для работы с Big Data и проблемы информационной безопасности в ходе использования

      • Инструменты для анализа данных и машинного обучения (Библиотеки, Фреймворки, Базы данных, Аналитические платформы) и их уязвимости.
      • Распределенные вычисления и экосистема Apache Hadoop. Назначение и характеристика компонент Hadoop для хранения и обработки Big Data.
      • Основные уязвимости компонентов Hadoop и угрозы безопасности платформы.
      • Подход к моделированию угроз при анализе угроз платформы
      • Настройка механизмов безопасности для компонентов Hadoop.
      • Применение облачных технологий (платформы AWS, Azure) для реализации решений Big Data и вопросы, связанные с безопасностью при переходе в облако.
    [TYPE] => HTML ) [3] => Array ( [TEXT] =>
    • Сравнительные характеристики программных и аппаратных решений для реализации решений Big Data с учетом вопросов ИБ.

    • Big Data Infrastructure Landscape 2019.

    • Big Data Infrastructure Service Providers 2019.

    • Big Data Analytics Landscape 2019.

    • Big Data Enterprise Level Applications Landscape 2019.

    • Итоговая аттестация

    [TYPE] => HTML ) ) [~DESCRIPTION] => Array ( [0] => Введение в большие данные (Big Data) [1] => Специфика работы с большими данными [2] => Технологии больших данных. [3] => Тенденции развития техник и технологий обеспечения безопасности решений Big Data. ) ) [BENEFITS] => Array ( [ID] => 76 [IBLOCK_ID] => 2 [NAME] => Преимущества курса [ACTIVE] => Y [SORT] => 103 [CODE] => BENEFITS [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Преимущества курса [~DEFAULT_VALUE] => [VALUE_ENUM] => Array ( [0] => Электронные документы [1] => Обед [2] => Кофе брейк ) [VALUE_XML_ID] => Array ( [0] => BENEFITS_4 [1] => BENEFITS_2 [2] => BENEFITS_1 ) [VALUE_SORT] => Array ( [0] => 20 [1] => 40 [2] => 50 ) [VALUE] => Array ( [0] => Электронные документы [1] => Обед [2] => Кофе брейк ) [PROPERTY_VALUE_ID] => Array ( [0] => 69494 [1] => 69493 [2] => 69492 ) [VALUE_ENUM_ID] => Array ( [0] => 24 [1] => 22 [2] => 21 ) [DESCRIPTION] => Array ( [0] => [1] => [2] => ) [~VALUE] => Array ( [0] => Электронные документы [1] => Обед [2] => Кофе брейк ) [~DESCRIPTION] => Array ( [0] => [1] => [2] => ) ) [EXPERTS] => Array ( [ID] => 54 [IBLOCK_ID] => 2 [NAME] => Преподаватели [ACTIVE] => Y [SORT] => 105 [CODE] => EXPERTS [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 1 [LINK_IBLOCK_ID] => 4 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Преподаватели [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [HANDOUT] => Array ( [ID] => 56 [IBLOCK_ID] => 2 [NAME] => Раздаточный материал [ACTIVE] => Y [SORT] => 107 [CODE] => HANDOUT [DEFAULT_VALUE] => [PROPERTY_TYPE] => F [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => doc, txt, rtf, pdf [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => Y [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Раздаточный материал [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [RECEIVED] => Array ( [ID] => 55 [IBLOCK_ID] => 2 [NAME] => Получаемый документ [ACTIVE] => Y [SORT] => 110 [CODE] => RECEIVED [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 1 [LINK_IBLOCK_ID] => 12 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Получаемый документ [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => 173 ) [PROPERTY_VALUE_ID] => Array ( [0] => 31441 ) [DESCRIPTION] => Array ( [0] => ) [~VALUE] => Array ( [0] => 173 ) [~DESCRIPTION] => Array ( [0] => ) ) [TITLE] => Array ( [ID] => 2 [IBLOCK_ID] => 2 [NAME] => Заголовок окна браузера [ACTIVE] => Y [SORT] => 120 [CODE] => TITLE [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 50 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 331 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Заголовок окна браузера [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [KEYWORDS] => Array ( [ID] => 3 [IBLOCK_ID] => 2 [NAME] => Ключевые слова [ACTIVE] => Y [SORT] => 125 [CODE] => KEYWORDS [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 50 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 335 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Ключевые слова [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [META_DESCRIPTION] => Array ( [ID] => 4 [IBLOCK_ID] => 2 [NAME] => Мета-описание [ACTIVE] => Y [SORT] => 130 [CODE] => META_DESCRIPTION [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 3 [COL_COUNT] => 38 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 337 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Мета-описание [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [NEWPRODUCT] => Array ( [ID] => 6 [IBLOCK_ID] => 2 [NAME] => Новинка [ACTIVE] => Y [SORT] => 210 [CODE] => NEWPRODUCT [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => af49d0e309af4fac506a8a228000efc5 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => Y [FILTRABLE] => Y [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Новинка [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) [SALELEADER] => Array ( [ID] => 7 [IBLOCK_ID] => 2 [NAME] => Лидер продаж [ACTIVE] => Y [SORT] => 220 [CODE] => SALELEADER [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => 103 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => Y [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Лидер продаж [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) [SPECIALOFFER] => Array ( [ID] => 8 [IBLOCK_ID] => 2 [NAME] => Рекомендуемый курс раздела [ACTIVE] => Y [SORT] => 230 [CODE] => SPECIALOFFER [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => 5 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => Y [FILTRABLE] => Y [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Рекомендуемый курс раздела [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) [MANAGER] => Array ( [ID] => 75 [IBLOCK_ID] => 2 [NAME] => Менеджер [ACTIVE] => Y [SORT] => 305 [CODE] => MANAGER [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 14 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Менеджер [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => 1586 [PROPERTY_VALUE_ID] => 31431 [DESCRIPTION] => [~VALUE] => 1586 [~DESCRIPTION] => ) [ARTNUMBER] => Array ( [ID] => 9 [IBLOCK_ID] => 2 [NAME] => Артикул, Код [ACTIVE] => Y [SORT] => 310 [CODE] => ARTNUMBER [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 10 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => Y [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Артикул, Код [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => DO004 [PROPERTY_VALUE_ID] => 52850 [DESCRIPTION] => [~VALUE] => DO004 [~DESCRIPTION] => ) [RECOMMEND] => Array ( [ID] => 14 [IBLOCK_ID] => 2 [NAME] => С этим курсом рекомендуем [ACTIVE] => Y [SORT] => 320 [CODE] => RECOMMEND [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => 461 [FILE_TYPE] => [MULTIPLE_CNT] => 4 [LINK_IBLOCK_ID] => 2 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => С этим курсом рекомендуем [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [BONUS] => Array ( [ID] => 91 [IBLOCK_ID] => 2 [NAME] => Бонус [ACTIVE] => Y [SORT] => 330 [CODE] => BONUS [DEFAULT_VALUE] => [PROPERTY_TYPE] => N [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Бонус [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [NUMBER_REVIEWS] => Array ( [ID] => 15 [IBLOCK_ID] => 2 [NAME] => Количество отзывов [ACTIVE] => Y [SORT] => 350 [CODE] => NUMBER_REVIEWS [DEFAULT_VALUE] => [PROPERTY_TYPE] => N [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 37 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Количество отзывов [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [BLOG_POST_ID] => Array ( [ID] => 50 [IBLOCK_ID] => 2 [NAME] => ID поста блога для комментариев [ACTIVE] => Y [SORT] => 500 [CODE] => BLOG_POST_ID [DEFAULT_VALUE] => [PROPERTY_TYPE] => N [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => ID поста блога для комментариев [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [BLOG_COMMENTS_CNT] => Array ( [ID] => 51 [IBLOCK_ID] => 2 [NAME] => Количество комментариев [ACTIVE] => Y [SORT] => 500 [CODE] => BLOG_COMMENTS_CNT [DEFAULT_VALUE] => [PROPERTY_TYPE] => N [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Количество комментариев [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [BUTTON_CODE] => Array ( [ID] => 100 [IBLOCK_ID] => 2 [NAME] => Код кнопки [ACTIVE] => Y [SORT] => 500 [CODE] => BUTTON_CODE [DEFAULT_VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => HTML [USER_TYPE_SETTINGS] => Array ( [height] => 200 ) [HINT] => [~NAME] => Код кнопки [~DEFAULT_VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [TEXT] => <script id="bx24_form_button" data-skip-moving="true"> (function(w,d,u,b){w['Bitrix24FormObject']=b;w[b] = w[b] || function(){arguments[0].ref=u; (w[b].forms=w[b].forms||[]).push(arguments[0])}; if(w[b]['forms']) return; var s=d.createElement('script');s.async=1;s.src=u+'?'+(1*new Date()); var h=d.getElementsByTagName('script')[0];h.parentNode.insertBefore(s,h); })(window,document,'https://b24ais.ru/bitrix/js/crm/form_loader.js','b24form'); b24form({"id":"9","lang":"ru","sec":"m60a01","type":"button","click":""}); </script><button class="b24-web-form-popup-btn-9"> Оставить заявку</button> [TYPE] => HTML ) [PROPERTY_VALUE_ID] => 31446 [DESCRIPTION] => [~VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [~DESCRIPTION] => ) [DURATION_FOR_PROGRAMM] => Array ( [ID] => 102 [IBLOCK_ID] => 2 [NAME] => Продолжительность для программы [ACTIVE] => Y [SORT] => 500 [CODE] => DURATION_FOR_PROGRAMM [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Продолжительность для программы [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => 4 ч. [1] => 4 ч. [2] => 24 ч. [3] => 8 ч. ) [PROPERTY_VALUE_ID] => Array ( [0] => 31416 [1] => 31417 [2] => 31439 [3] => 31447 ) [DESCRIPTION] => Array ( [0] => [1] => [2] => [3] => ) [~VALUE] => Array ( [0] => 4 ч. [1] => 4 ч. [2] => 24 ч. [3] => 8 ч. ) [~DESCRIPTION] => Array ( [0] => [1] => [2] => [3] => ) ) [KP_BUTTON_CODE] => Array ( [ID] => 106 [IBLOCK_ID] => 2 [NAME] => Код формы коммерческого предложения [ACTIVE] => Y [SORT] => 500 [CODE] => KP_BUTTON_CODE [DEFAULT_VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => HTML [USER_TYPE_SETTINGS] => Array ( [height] => 200 ) [HINT] => [~NAME] => Код формы коммерческого предложения [~DEFAULT_VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [TEXT] => <script id="bx24_form_button" data-skip-moving="true"> (function(w,d,u,b){w['Bitrix24FormObject']=b;w[b] = w[b] || function(){arguments[0].ref=u; (w[b].forms=w[b].forms||[]).push(arguments[0])}; if(w[b]['forms']) return; var s=d.createElement('script');s.async=1;s.src=u+'?'+(1*new Date()); var h=d.getElementsByTagName('script')[0];h.parentNode.insertBefore(s,h); })(window,document,'https://b24ais.ru/bitrix/js/crm/form_loader.js','b24form'); b24form({"id":"29","lang":"ru","sec":"3o8k29","type":"button","click":""}); </script><button class="b24-web-form-popup-btn-29"> Получить коммерческое предложение </button> [TYPE] => HTML ) [PROPERTY_VALUE_ID] => 31448 [DESCRIPTION] => [~VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [~DESCRIPTION] => ) [VENDOR] => Array ( [ID] => 107 [IBLOCK_ID] => 2 [NAME] => Вендор [ACTIVE] => Y [SORT] => 500 [CODE] => VENDOR [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 27 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Вендор [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => 1240 [PROPERTY_VALUE_ID] => 31464 [DESCRIPTION] => [~VALUE] => 1240 [~DESCRIPTION] => ) [DISTANCE_LINK] => Array ( [ID] => 108 [IBLOCK_ID] => 2 [NAME] => Ссылка для кнопки "дистанционное участие" промо - круса [ACTIVE] => Y [SORT] => 500 [CODE] => DISTANCE_LINK [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Ссылка для кнопки "дистанционное участие" промо - круса [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [IS_PROMO] => Array ( [ID] => 109 [IBLOCK_ID] => 2 [NAME] => Является промо-курсом [ACTIVE] => Y [SORT] => 500 [CODE] => IS_PROMO [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Является промо-курсом [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) [TITLE_EVENT] => Array ( [ID] => 111 [IBLOCK_ID] => 2 [NAME] => Заголовки к полям "Программа мероприятия" (в том же порядке) [ACTIVE] => Y [SORT] => 500 [CODE] => TITLE_EVENT [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Заголовки к полям "Программа мероприятия" (в том же порядке) [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [FORM_TRAINING_NEW] => Array ( [ID] => 112 [IBLOCK_ID] => 2 [NAME] => Форма обучения (новая) [ACTIVE] => Y [SORT] => 500 [CODE] => FORM_TRAINING_NEW [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Форма обучения (новая) [~DEFAULT_VALUE] => [VALUE_ENUM] => Очно/Дистанционно [VALUE_XML_ID] => mixed [VALUE_SORT] => 500 [VALUE] => Очно/Дистанционно [PROPERTY_VALUE_ID] => 69495 [VALUE_ENUM_ID] => 27 [DESCRIPTION] => [~VALUE] => Очно/Дистанционно [~DESCRIPTION] => ) [WEBINAR_RECORDING] => Array ( [ID] => 122 [IBLOCK_ID] => 2 [NAME] => Запись вебинара [ACTIVE] => Y [SORT] => 500 [CODE] => WEBINAR_RECORDING [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Запись вебинара [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [PROHIBIT_ONLINE_PURCHASE] => Array ( [ID] => 123 [IBLOCK_ID] => 2 [NAME] => Запретить покупу онлайн [ACTIVE] => Y [SORT] => 500 [CODE] => PROHIBIT_ONLINE_PURCHASE [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 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[LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Метод обучения [~DEFAULT_VALUE] => [VALUE_ENUM] => Array ( [0] => В аудитории ) [VALUE_XML_ID] => Array ( [0] => audience_method ) [VALUE_SORT] => Array ( [0] => 150 ) [VALUE] => Array ( [0] => В аудитории ) [PROPERTY_VALUE_ID] => Array ( [0] => 69491 ) [VALUE_ENUM_ID] => Array ( [0] => 20 ) [DESCRIPTION] => Array ( [0] => ) [~VALUE] => Array ( [0] => В аудитории ) [~DESCRIPTION] => Array ( [0] => ) [DISPLAY_VALUE] => В аудитории ) ) [PRODUCT_PROPERTIES] => Array ( ) [PRODUCT_PROPERTIES_FILL] => Array ( ) [OFFERS] => Array ( ) [OFFER_ID_SELECTED] => 0 [CHECK_QUANTITY] => [ITEM_PRICE_MODE] => S [ITEM_PRICES] => Array ( [0] => Array ( [UNROUND_BASE_PRICE] => 45000 [UNROUND_PRICE] => 45000 [BASE_PRICE] => 45000 [PRICE] => 45000 [ID] => 197 [PRICE_TYPE_ID] => 1 [CURRENCY] => RUB [DISCOUNT] => 0 [PERCENT] => 0 [QUANTITY_FROM] => [QUANTITY_TO] => [QUANTITY_HASH] => ZERO-INF [MEASURE_RATIO_ID] => [PRINT_BASE_PRICE] => 45 000 ₽ [RATIO_BASE_PRICE] => 45000 [PRINT_RATIO_BASE_PRICE] => 45 000 ₽ [PRINT_PRICE] => 45 000 ₽ [RATIO_PRICE] => 45000 [PRINT_RATIO_PRICE] => 45 000 ₽ [PRINT_DISCOUNT] => 0 ₽ [RATIO_DISCOUNT] => 0 [PRINT_RATIO_DISCOUNT] => 0 ₽ [MIN_QUANTITY] => 1 ) ) [ITEM_QUANTITY_RANGES] => Array ( [ZERO-INF] => Array ( [HASH] => ZERO-INF [QUANTITY_FROM] => [QUANTITY_TO] => [SORT_FROM] => 0 [SORT_TO] => INF ) ) [ITEM_MEASURE_RATIOS] => Array ( [197] => Array ( [ID] => 197 [RATIO] => 1 [IS_DEFAULT] => Y [PRODUCT_ID] => 1283 ) ) [ITEM_MEASURE] => Array ( [ID] => 5 [TITLE] => шт [~TITLE] => шт ) [ITEM_MEASURE_RATIO_SELECTED] => 197 [ITEM_QUANTITY_RANGE_SELECTED] => ZERO-INF [ITEM_PRICE_SELECTED] => 0 [EDIT_LINK] => [DELETE_LINK] => [SECTION] => Array ( [PATH] => Array ( ) ) [CAN_BUY] => 1 [ITEM_PRICES_CAN_BUY] => 1 ) [2] => Array ( [ID] => 1284 [~ID] => 1284 [IBLOCK_ID] => 2 [~IBLOCK_ID] => 2 [CODE] => mashinnoe_obuchenie_big_data [~CODE] => mashinnoe_obuchenie_big_data [XML_ID] => 1284 [~XML_ID] => 1284 [NAME] => Машинное обучение (Big Data) (расширенный) [~NAME] => Машинное обучение (Big Data) (расширенный) [ACTIVE] => Y [~ACTIVE] => Y [DATE_ACTIVE_FROM] => [~DATE_ACTIVE_FROM] => [DATE_ACTIVE_TO] => [~DATE_ACTIVE_TO] => [SORT] => 500 [~SORT] => 500 [PREVIEW_TEXT] =>
    Современные компании с большим количеством пользователей и клиентов имеют дело с огромными объемами данных. Традиционные парадигмы обработки/хранения/предоставления/анализа данных не подходят, когда объемы данных составляют сотни терабайт и они являются неструктурированными. И здесь приходят на помощь технологии Big Data и машинного обучения, которые позволяют с использованием ряда фреймворков разработанных Google и Apache обеспечить работу и анализ таких объемов информации в заданные временные интервалы. К сожалению многие компании реализующие такие технологии не задумываются о вопросах безопасности в результате чего это приводит к утечкам и скандалам.

    [~PREVIEW_TEXT] =>
    Современные компании с большим количеством пользователей и клиентов имеют дело с огромными объемами данных. Традиционные парадигмы обработки/хранения/предоставления/анализа данных не подходят, когда объемы данных составляют сотни терабайт и они являются неструктурированными. И здесь приходят на помощь технологии Big Data и машинного обучения, которые позволяют с использованием ряда фреймворков разработанных Google и Apache обеспечить работу и анализ таких объемов информации в заданные временные интервалы. К сожалению многие компании реализующие такие технологии не задумываются о вопросах безопасности в результате чего это приводит к утечкам и скандалам.

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[USER_TYPE] => DateTime [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Даты проведения, расписание [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => 14.12.2020 13:29:00 [1] => 18.12.2020 13:29:00 ) [PROPERTY_VALUE_ID] => Array ( [0] => 71107 [1] => 71108 ) [DESCRIPTION] => Array ( [0] => [1] => ) [~VALUE] => Array ( [0] => 14.12.2020 13:29:00 [1] => 18.12.2020 13:29:00 ) [~DESCRIPTION] => Array ( [0] => [1] => ) ) [DURATION] => Array ( [ID] => 57 [IBLOCK_ID] => 2 [NAME] => Продолжительность [ACTIVE] => Y [SORT] => 20 [CODE] => DURATION [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 1 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Продолжительность [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => 5 дней 40 ак.часов ) [PROPERTY_VALUE_ID] => Array ( [0] => 31483 ) [DESCRIPTION] => Array ( [0] => ) [~VALUE] => Array ( [0] => 5 дней 40 ак.часов ) [~DESCRIPTION] => Array ( [0] => ) ) [FORM_TRAINING] => Array ( [ID] => 58 [IBLOCK_ID] => 2 [NAME] => Форма обучения [ACTIVE] => Y [SORT] => 25 [CODE] => FORM_TRAINING [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Форма обучения [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [METOD_TEACHING] => Array ( [ID] => 59 [IBLOCK_ID] => 2 [NAME] => Метод обучения [ACTIVE] => Y [SORT] => 30 [CODE] => METOD_TEACHING [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Метод обучения [~DEFAULT_VALUE] => [VALUE_ENUM] => Array ( [0] => В аудитории ) [VALUE_XML_ID] => Array ( [0] => audience_method ) [VALUE_SORT] => Array ( [0] => 150 ) [VALUE] => Array ( [0] => В аудитории ) [PROPERTY_VALUE_ID] => Array ( [0] => 69722 ) [VALUE_ENUM_ID] => Array ( [0] => 20 ) [DESCRIPTION] => Array ( [0] => ) [~VALUE] => Array ( [0] => В аудитории ) [~DESCRIPTION] => Array ( [0] => ) ) [DURATION_SPISOK] => Array ( [ID] => 113 [IBLOCK_ID] => 2 [NAME] => Продолжительность список [ACTIVE] => Y [SORT] => 31 [CODE] => DURATION_SPISOK [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Продолжительность список [~DEFAULT_VALUE] => [VALUE_ENUM] => 5 дней 40 ак.часов [VALUE_XML_ID] => 8e7738d330125e16803a77c0ddebccff [VALUE_SORT] => 515 [VALUE] => 5 дней 40 ак.часов [PROPERTY_VALUE_ID] => 69727 [VALUE_ENUM_ID] => 40 [DESCRIPTION] => [~VALUE] => 5 дней 40 ак.часов [~DESCRIPTION] => ) [YOUTUBE] => Array ( [ID] => 60 [IBLOCK_ID] => 2 [NAME] => Видео описание курса [ACTIVE] => Y [SORT] => 35 [CODE] => YOUTUBE [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Видео описание курса [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [LECTURE] => Array ( [ID] => 52 [IBLOCK_ID] => 2 [NAME] => Целевая аудитория [ACTIVE] => Y [SORT] => 100 [CODE] => LECTURE [DEFAULT_VALUE] => Array ( [TYPE] => TEXT [TEXT] => ) [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => HTML [USER_TYPE_SETTINGS] => Array ( [height] => 30 ) [HINT] => [~NAME] => Целевая аудитория [~DEFAULT_VALUE] => Array ( [TYPE] => TEXT [TEXT] => ) [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [TEXT] => Программа предназначена для управленцев среднего звена и выше. Будет полезна для тех, кто планирует внедрение технологии в организации. [TYPE] => TEXT ) [PROPERTY_VALUE_ID] => 31482 [DESCRIPTION] => [~VALUE] => Array ( [TEXT] => Программа предназначена для управленцев среднего звена и выше. Будет полезна для тех, кто планирует внедрение технологии в организации. [TYPE] => TEXT ) [~DESCRIPTION] => ) [PROG_EVENT] => Array ( [ID] => 53 [IBLOCK_ID] => 2 [NAME] => Программа мероприятия [ACTIVE] => Y [SORT] => 102 [CODE] => PROG_EVENT [DEFAULT_VALUE] => Array ( [TYPE] => HTML [TEXT] => ) [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 4 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => Y [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => HTML [USER_TYPE_SETTINGS] => Array ( [height] => 200 ) [HINT] => [~NAME] => Программа мероприятия [~DEFAULT_VALUE] => Array ( [TYPE] => HTML [TEXT] => ) [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => Array ( [TEXT] => <ul> <li> <h3><span style="font-size: 10pt;">Цели и задачи курса.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Основные понятия и определения.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">История науки о данных (Data Science). Особенности развития Data Science в настоящее время.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;"> Большие данные и цифровая трансформация.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Эффективное использование данных в организации.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Различные подходы к управлению (Data-Driven и DataInformed).</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Data-Driven культура (данные как стратегический ресурс).</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Использование Data-Driven подхода. Выгоды от работы с большими данными.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Основные области применения больших данных.</span></h3> </li> </ul> [TYPE] => HTML ) [1] => Array ( [TEXT] => <ul> <li> <h3><span style="font-size: 10pt;">Основные принципы работы с Big Data</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Интеграция больших данных. Источники данных (реляционные, не реляционные, предметно ориентированные информационные базы данных). Data Lake.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Импорт и экспорт данных: SQL и NoSQL базы данных, потоковые данные, файловые системы (HDFS, NFS), webcontent, социальные сети.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Пакетная и динамическая (batch / real-time) загрузка данных.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Типовые задачи аналитики больших данных.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;"> Методы аналитики Big Data. Подход MapReduce.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Жизненный цикл аналитики данных: получение и накопление данных, подготовка данных, планирование модели, построение модели, проверка результатов, внедрение.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;"> Использование анализа больших данных для повышения эффективности бизнес процессов.</span></h3> </li> </ul> [TYPE] => HTML ) [2] => Array ( [TEXT] => <ul> <li> <h3><span style="font-size: 11pt;"><b>Особенности применения аналитики для Big Data</b> </span></h3> <ul> <li>Статистические методы и методы интеллектуального анализа данных (Data Mining).</li> <li>Отличия методов Data Mining от статистических методов.</li> <li>Задачи и этапы Data Mining.</li> <li>Организационные и человеческие факторы в Data Mining. Методология CRISP-DM (Cross-Industry Standard Process for Data Mining).</li> <li>Классификация и кластеризация.</li> <li>Прогнозирование. Предсказательная аналитика (predictive analytics).</li> <li> Поиск зависимостей в данных. Ассоциативные правила (Association Rules) и обнаружение аномалий. Меры качества закономерностей.</li> <li>Визуализация.</li> <li>Вычисление дескриптивных статистик (частоты, средние, стандартные отклонения, медианы etc.) для больших объемов данных.</li> <li> А/В- (A/B/n-) тестирование и реализация задач оптимизации (повышения эффективности) работы.</li> <li>Выбор языка программирования для работы с данными</li> </ul> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;"><b>Применение Искусственного Интеллекта для аналитики Big Data (Машинное обучение).</b> </span></h3> <ul> <li>Основные понятия машинного обучения (Machine Learning).</li> <li> Постановка задач обучения по прецедентам. Виды машинного обучения. Объекты и признаки. Деревья решений.</li> <li> Процесс создания модели в машинном обучении.</li> <li>Классификация алгоритмов Machine Learning.</li> <li> Обучение с учителем.</li> <li>Обучение без учителя.</li> <li>Обучение с подкреплением.</li> <li> Оценка качества алгоритмов машинного обучения.</li> <li> Сложные модели. Ансамбли деревьев решений, бустинг.</li> <li>Искусственные нейронные сети. Модель нейрона. Структура нейронной сети.</li> <li> Классификация нейронных сетей. Сложные архитектурные модели.</li> <li>Байесовские нейронные сети.</li> <li> Обучение нейронной сети. Метод обратного распространения ошибки. Глубокое обучение.</li> <li>Экспериментальное исследование и сравнение алгоритмов на модельных и реальных данных.</li> </ul> </li> </ul> <ul> </ul> [TYPE] => HTML ) [3] => Array ( [TEXT] => <ul> <li> <h3><span style="font-size: 10pt;">Инструменты для анализа данных и машинного обучения (Библиотеки, Фреймворки, Базы данных, Аналитические платформы).</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Распределенные вычисления и экосистема Apache Hadoop. Назначение и характеристика компонент Hadoop для хранения и обработки Big Data. Аналитика для неструктурированных данных с использованием Hadoop.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Обработка данных в реальном времени. Машинное обучение с библиотекой MLLib Apache Spark.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Применение облачных технологий (платформы AWS, Azure) для реализации решений Big Data.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Массово-параллельная структура (Massive Parallel Processing).</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Языковые средства моделирования. Использование R и Python в машинном обучении.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Использование прикладных библиотек в машинном обучении (на примере работы с библиотекой TensorFlow).</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;"> Реализация решений Data Mining и Machine Learning для Big Data на современных NewSQL платформах (на примере SAP HANA).</span></h3> </li> </ul> [TYPE] => HTML ) [4] => Array ( [TEXT] => <ul> <li> <h3><span style="font-size: 10pt;">Сравнительные характеристики программных и аппаратных решений для реализации решений Big Data.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Big Data Infrastructure Landscape 2019.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Big Data Infrastructure Service Providers 2019.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Big Data Analytics Landscape 2019.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Big Data Enterprise Level Applications Landscape 2019.</span></h3> </li> </ul> [TYPE] => HTML ) [5] => Array ( [TEXT] => <ul> <li> <h3><span style="font-size: 10pt;">Определение перспектив использования больших данных и способов их монетизации.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Выбор инфраструктуры под проект (пригодной для реализации на старте и в будущем).</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Выбор необходимых алгоритмов машинного обучения.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Управление проектом по внедрению технологий больших данных. Формирование команды проекта Big Data. Ключевые роли.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 10pt;">Оценка результатов внедрения решений Big Data.</span></h3> </li> </ul> <ul> <li> <h3><span style="font-size: 11pt;">Итоговая аттестация</span></h3> </li> </ul> [TYPE] => HTML ) ) [PROPERTY_VALUE_ID] => Array ( [0] => 31503 [1] => 31504 [2] => 31531 [3] => 31543 [4] => 31550 [5] => 31557 ) [DESCRIPTION] => Array ( [0] => Введение в большие данные (Big Data) [1] => Специфика работы с большими данными [2] => Технологии больших данных. [3] => Инструментарий для работы с Big Data [4] => Тенденции развития техник и технологий работы с большими данными. [5] => Особенности внедрения технологий больших данных ) [~VALUE] => Array ( [0] => Array ( [TEXT] =>
    • Цели и задачи курса.

    • Основные понятия и определения.

    • История науки о данных (Data Science). Особенности развития Data Science в настоящее время.

    • Большие данные и цифровая трансформация.

    • Эффективное использование данных в организации.

    • Различные подходы к управлению (Data-Driven и DataInformed).

    • Data-Driven культура (данные как стратегический ресурс).

    • Использование Data-Driven подхода. Выгоды от работы с большими данными.

    • Основные области применения больших данных.

    [TYPE] => HTML ) [1] => Array ( [TEXT] =>
    • Основные принципы работы с Big Data

    • Интеграция больших данных. Источники данных (реляционные, не реляционные, предметно ориентированные информационные базы данных). Data Lake.

    • Импорт и экспорт данных: SQL и NoSQL базы данных, потоковые данные, файловые системы (HDFS, NFS), webcontent, социальные сети.

    • Пакетная и динамическая (batch / real-time) загрузка данных.

    • Типовые задачи аналитики больших данных.

    • Методы аналитики Big Data. Подход MapReduce.

    • Жизненный цикл аналитики данных: получение и накопление данных, подготовка данных, планирование модели, построение модели, проверка результатов, внедрение.

    • Использование анализа больших данных для повышения эффективности бизнес процессов.

    [TYPE] => HTML ) [2] => Array ( [TEXT] =>
    • Особенности применения аналитики для Big Data

      • Статистические методы и методы интеллектуального анализа данных (Data Mining).
      • Отличия методов Data Mining от статистических методов.
      • Задачи и этапы Data Mining.
      • Организационные и человеческие факторы в Data Mining. Методология CRISP-DM (Cross-Industry Standard Process for Data Mining).
      • Классификация и кластеризация.
      • Прогнозирование. Предсказательная аналитика (predictive analytics).
      • Поиск зависимостей в данных. Ассоциативные правила (Association Rules) и обнаружение аномалий. Меры качества закономерностей.
      • Визуализация.
      • Вычисление дескриптивных статистик (частоты, средние, стандартные отклонения, медианы etc.) для больших объемов данных.
      • А/В- (A/B/n-) тестирование и реализация задач оптимизации (повышения эффективности) работы.
      • Выбор языка программирования для работы с данными
    • Применение Искусственного Интеллекта для аналитики Big Data (Машинное обучение).

      • Основные понятия машинного обучения (Machine Learning).
      • Постановка задач обучения по прецедентам. Виды машинного обучения. Объекты и признаки. Деревья решений.
      • Процесс создания модели в машинном обучении.
      • Классификация алгоритмов Machine Learning.
      • Обучение с учителем.
      • Обучение без учителя.
      • Обучение с подкреплением.
      • Оценка качества алгоритмов машинного обучения.
      • Сложные модели. Ансамбли деревьев решений, бустинг.
      • Искусственные нейронные сети. Модель нейрона. Структура нейронной сети.
      • Классификация нейронных сетей. Сложные архитектурные модели.
      • Байесовские нейронные сети.
      • Обучение нейронной сети. Метод обратного распространения ошибки. Глубокое обучение.
      • Экспериментальное исследование и сравнение алгоритмов на модельных и реальных данных.
    [TYPE] => HTML ) [3] => Array ( [TEXT] =>
    • Инструменты для анализа данных и машинного обучения (Библиотеки, Фреймворки, Базы данных, Аналитические платформы).

    • Распределенные вычисления и экосистема Apache Hadoop. Назначение и характеристика компонент Hadoop для хранения и обработки Big Data. Аналитика для неструктурированных данных с использованием Hadoop.

    • Обработка данных в реальном времени. Машинное обучение с библиотекой MLLib Apache Spark.

    • Применение облачных технологий (платформы AWS, Azure) для реализации решений Big Data.

    • Массово-параллельная структура (Massive Parallel Processing).

    • Языковые средства моделирования. Использование R и Python в машинном обучении.

    • Использование прикладных библиотек в машинном обучении (на примере работы с библиотекой TensorFlow).

    • Реализация решений Data Mining и Machine Learning для Big Data на современных NewSQL платформах (на примере SAP HANA).

    [TYPE] => HTML ) [4] => Array ( [TEXT] =>
    • Сравнительные характеристики программных и аппаратных решений для реализации решений Big Data.

    • Big Data Infrastructure Landscape 2019.

    • Big Data Infrastructure Service Providers 2019.

    • Big Data Analytics Landscape 2019.

    • Big Data Enterprise Level Applications Landscape 2019.

    [TYPE] => HTML ) [5] => Array ( [TEXT] =>
    • Определение перспектив использования больших данных и способов их монетизации.

    • Выбор инфраструктуры под проект (пригодной для реализации на старте и в будущем).

    • Выбор необходимых алгоритмов машинного обучения.

    • Управление проектом по внедрению технологий больших данных. Формирование команды проекта Big Data. Ключевые роли.

    • Оценка результатов внедрения решений Big Data.

    • Итоговая аттестация

    [TYPE] => HTML ) ) [~DESCRIPTION] => Array ( [0] => Введение в большие данные (Big Data) [1] => Специфика работы с большими данными [2] => Технологии больших данных. [3] => Инструментарий для работы с Big Data [4] => Тенденции развития техник и технологий работы с большими данными. [5] => Особенности внедрения технологий больших данных ) ) [BENEFITS] => Array ( [ID] => 76 [IBLOCK_ID] => 2 [NAME] => Преимущества курса [ACTIVE] => Y [SORT] => 103 [CODE] => BENEFITS [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Преимущества курса [~DEFAULT_VALUE] => [VALUE_ENUM] => Array ( [0] => Электронные документы [1] => Обед [2] => Кофе брейк ) [VALUE_XML_ID] => Array ( [0] => BENEFITS_4 [1] => BENEFITS_2 [2] => BENEFITS_1 ) [VALUE_SORT] => Array ( [0] => 20 [1] => 40 [2] => 50 ) [VALUE] => Array ( [0] => Электронные документы [1] => Обед [2] => Кофе брейк ) [PROPERTY_VALUE_ID] => Array ( [0] => 69725 [1] => 69724 [2] => 69723 ) [VALUE_ENUM_ID] => Array ( [0] => 24 [1] => 22 [2] => 21 ) [DESCRIPTION] => Array ( [0] => [1] => [2] => ) [~VALUE] => Array ( [0] => Электронные документы [1] => Обед [2] => Кофе брейк ) [~DESCRIPTION] => Array ( [0] => [1] => [2] => ) ) [EXPERTS] => Array ( [ID] => 54 [IBLOCK_ID] => 2 [NAME] => Преподаватели [ACTIVE] => Y [SORT] => 105 [CODE] => EXPERTS [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 1 [LINK_IBLOCK_ID] => 4 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Преподаватели [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [HANDOUT] => Array ( [ID] => 56 [IBLOCK_ID] => 2 [NAME] => Раздаточный материал [ACTIVE] => Y [SORT] => 107 [CODE] => HANDOUT [DEFAULT_VALUE] => [PROPERTY_TYPE] => F [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => doc, txt, rtf, pdf [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => Y [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Раздаточный материал [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [RECEIVED] => Array ( [ID] => 55 [IBLOCK_ID] => 2 [NAME] => Получаемый документ [ACTIVE] => Y [SORT] => 110 [CODE] => RECEIVED [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 1 [LINK_IBLOCK_ID] => 12 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Получаемый документ [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => 173 ) [PROPERTY_VALUE_ID] => Array ( [0] => 31514 ) [DESCRIPTION] => Array ( [0] => ) [~VALUE] => Array ( [0] => 173 ) [~DESCRIPTION] => Array ( [0] => ) ) [TITLE] => Array ( [ID] => 2 [IBLOCK_ID] => 2 [NAME] => Заголовок окна браузера [ACTIVE] => Y [SORT] => 120 [CODE] => TITLE [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 50 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 331 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Заголовок окна браузера [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [KEYWORDS] => Array ( [ID] => 3 [IBLOCK_ID] => 2 [NAME] => Ключевые слова [ACTIVE] => Y [SORT] => 125 [CODE] => KEYWORDS [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 50 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 335 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Ключевые слова [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [META_DESCRIPTION] => Array ( [ID] => 4 [IBLOCK_ID] => 2 [NAME] => Мета-описание [ACTIVE] => Y [SORT] => 130 [CODE] => META_DESCRIPTION [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 3 [COL_COUNT] => 38 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 337 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Мета-описание [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [NEWPRODUCT] => Array ( [ID] => 6 [IBLOCK_ID] => 2 [NAME] => Новинка [ACTIVE] => Y [SORT] => 210 [CODE] => NEWPRODUCT [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => af49d0e309af4fac506a8a228000efc5 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => Y [FILTRABLE] => Y [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Новинка [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) [SALELEADER] => Array ( [ID] => 7 [IBLOCK_ID] => 2 [NAME] => Лидер продаж [ACTIVE] => Y [SORT] => 220 [CODE] => SALELEADER [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => 103 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => Y [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Лидер продаж [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) [SPECIALOFFER] => Array ( [ID] => 8 [IBLOCK_ID] => 2 [NAME] => Рекомендуемый курс раздела [ACTIVE] => Y [SORT] => 230 [CODE] => SPECIALOFFER [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => 5 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => Y [FILTRABLE] => Y [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Рекомендуемый курс раздела [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) [MANAGER] => Array ( [ID] => 75 [IBLOCK_ID] => 2 [NAME] => Менеджер [ACTIVE] => Y [SORT] => 305 [CODE] => MANAGER [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 14 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Менеджер [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => 1586 [PROPERTY_VALUE_ID] => 31516 [DESCRIPTION] => [~VALUE] => 1586 [~DESCRIPTION] => ) [ARTNUMBER] => Array ( [ID] => 9 [IBLOCK_ID] => 2 [NAME] => Артикул, Код [ACTIVE] => Y [SORT] => 310 [CODE] => ARTNUMBER [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 10 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => Y [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Артикул, Код [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => DO003 [PROPERTY_VALUE_ID] => 52801 [DESCRIPTION] => [~VALUE] => DO003 [~DESCRIPTION] => ) [RECOMMEND] => Array ( [ID] => 14 [IBLOCK_ID] => 2 [NAME] => С этим курсом рекомендуем [ACTIVE] => Y [SORT] => 320 [CODE] => RECOMMEND [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => 461 [FILE_TYPE] => [MULTIPLE_CNT] => 4 [LINK_IBLOCK_ID] => 2 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => С этим курсом рекомендуем [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [BONUS] => Array ( [ID] => 91 [IBLOCK_ID] => 2 [NAME] => Бонус [ACTIVE] => Y [SORT] => 330 [CODE] => BONUS [DEFAULT_VALUE] => [PROPERTY_TYPE] => N [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Бонус [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [NUMBER_REVIEWS] => Array ( [ID] => 15 [IBLOCK_ID] => 2 [NAME] => Количество отзывов [ACTIVE] => Y [SORT] => 350 [CODE] => NUMBER_REVIEWS [DEFAULT_VALUE] => [PROPERTY_TYPE] => N [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => 37 [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Количество отзывов [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [BLOG_POST_ID] => Array ( [ID] => 50 [IBLOCK_ID] => 2 [NAME] => ID поста блога для комментариев [ACTIVE] => Y [SORT] => 500 [CODE] => BLOG_POST_ID [DEFAULT_VALUE] => [PROPERTY_TYPE] => N [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => ID поста блога для комментариев [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [BLOG_COMMENTS_CNT] => Array ( [ID] => 51 [IBLOCK_ID] => 2 [NAME] => Количество комментариев [ACTIVE] => Y [SORT] => 500 [CODE] => BLOG_COMMENTS_CNT [DEFAULT_VALUE] => [PROPERTY_TYPE] => N [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Количество комментариев [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [BUTTON_CODE] => Array ( [ID] => 100 [IBLOCK_ID] => 2 [NAME] => Код кнопки [ACTIVE] => Y [SORT] => 500 [CODE] => BUTTON_CODE [DEFAULT_VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => HTML [USER_TYPE_SETTINGS] => Array ( [height] => 200 ) [HINT] => [~NAME] => Код кнопки [~DEFAULT_VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [TEXT] => <script id="bx24_form_button" data-skip-moving="true"> (function(w,d,u,b){w['Bitrix24FormObject']=b;w[b] = w[b] || function(){arguments[0].ref=u; (w[b].forms=w[b].forms||[]).push(arguments[0])}; if(w[b]['forms']) return; var s=d.createElement('script');s.async=1;s.src=u+'?'+(1*new Date()); var h=d.getElementsByTagName('script')[0];h.parentNode.insertBefore(s,h); })(window,document,'https://b24ais.ru/bitrix/js/crm/form_loader.js','b24form'); b24form({"id":"9","lang":"ru","sec":"m60a01","type":"button","click":""}); </script><button class="b24-web-form-popup-btn-9"> Оставить заявку</button> [TYPE] => HTML ) [PROPERTY_VALUE_ID] => 31520 [DESCRIPTION] => [~VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [~DESCRIPTION] => ) [DURATION_FOR_PROGRAMM] => Array ( [ID] => 102 [IBLOCK_ID] => 2 [NAME] => Продолжительность для программы [ACTIVE] => Y [SORT] => 500 [CODE] => DURATION_FOR_PROGRAMM [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Продолжительность для программы [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => 2 ч. [1] => 2 ч. [2] => 24 ч. [3] => 2 ч. [4] => 4 ч. [5] => 8 ч. ) [PROPERTY_VALUE_ID] => Array ( [0] => 31521 [1] => 31522 [2] => 31541 [3] => 31548 [4] => 31555 [5] => 31567 ) [DESCRIPTION] => Array ( [0] => [1] => [2] => [3] => [4] => [5] => ) [~VALUE] => Array ( [0] => 2 ч. [1] => 2 ч. [2] => 24 ч. [3] => 2 ч. [4] => 4 ч. [5] => 8 ч. ) [~DESCRIPTION] => Array ( [0] => [1] => [2] => [3] => [4] => [5] => ) ) [KP_BUTTON_CODE] => Array ( [ID] => 106 [IBLOCK_ID] => 2 [NAME] => Код формы коммерческого предложения [ACTIVE] => Y [SORT] => 500 [CODE] => KP_BUTTON_CODE [DEFAULT_VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => HTML [USER_TYPE_SETTINGS] => Array ( [height] => 200 ) [HINT] => [~NAME] => Код формы коммерческого предложения [~DEFAULT_VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [TEXT] => <script id="bx24_form_button" data-skip-moving="true"> (function(w,d,u,b){w['Bitrix24FormObject']=b;w[b] = w[b] || function(){arguments[0].ref=u; (w[b].forms=w[b].forms||[]).push(arguments[0])}; if(w[b]['forms']) return; var s=d.createElement('script');s.async=1;s.src=u+'?'+(1*new Date()); var h=d.getElementsByTagName('script')[0];h.parentNode.insertBefore(s,h); })(window,document,'https://b24ais.ru/bitrix/js/crm/form_loader.js','b24form'); b24form({"id":"29","lang":"ru","sec":"3o8k29","type":"button","click":""}); </script><button class="b24-web-form-popup-btn-29"> Получить коммерческое предложение </button> [TYPE] => HTML ) [PROPERTY_VALUE_ID] => 31523 [DESCRIPTION] => [~VALUE] => Array ( [TEXT] => [TYPE] => HTML ) [~DESCRIPTION] => ) [VENDOR] => Array ( [ID] => 107 [IBLOCK_ID] => 2 [NAME] => Вендор [ACTIVE] => Y [SORT] => 500 [CODE] => VENDOR [DEFAULT_VALUE] => [PROPERTY_TYPE] => E [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 27 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Вендор [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => 1240 [PROPERTY_VALUE_ID] => 31524 [DESCRIPTION] => [~VALUE] => 1240 [~DESCRIPTION] => ) [DISTANCE_LINK] => Array ( [ID] => 108 [IBLOCK_ID] => 2 [NAME] => Ссылка для кнопки "дистанционное участие" промо - круса [ACTIVE] => Y [SORT] => 500 [CODE] => DISTANCE_LINK [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Ссылка для кнопки "дистанционное участие" промо - круса [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [IS_PROMO] => Array ( [ID] => 109 [IBLOCK_ID] => 2 [NAME] => Является промо-курсом [ACTIVE] => Y [SORT] => 500 [CODE] => IS_PROMO [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Является промо-курсом [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) [TITLE_EVENT] => Array ( [ID] => 111 [IBLOCK_ID] => 2 [NAME] => Заголовки к полям "Программа мероприятия" (в том же порядке) [ACTIVE] => Y [SORT] => 500 [CODE] => TITLE_EVENT [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Заголовки к полям "Программа мероприятия" (в том же порядке) [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [FORM_TRAINING_NEW] => Array ( [ID] => 112 [IBLOCK_ID] => 2 [NAME] => Форма обучения (новая) [ACTIVE] => Y [SORT] => 500 [CODE] => FORM_TRAINING_NEW [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Форма обучения (новая) [~DEFAULT_VALUE] => [VALUE_ENUM] => Очно/Дистанционно [VALUE_XML_ID] => mixed [VALUE_SORT] => 500 [VALUE] => Очно/Дистанционно [PROPERTY_VALUE_ID] => 69726 [VALUE_ENUM_ID] => 27 [DESCRIPTION] => [~VALUE] => Очно/Дистанционно [~DESCRIPTION] => ) [WEBINAR_RECORDING] => Array ( [ID] => 122 [IBLOCK_ID] => 2 [NAME] => Запись вебинара [ACTIVE] => Y [SORT] => 500 [CODE] => WEBINAR_RECORDING [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Запись вебинара [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => ) [PROHIBIT_ONLINE_PURCHASE] => Array ( [ID] => 123 [IBLOCK_ID] => 2 [NAME] => Запретить покупу онлайн [ACTIVE] => Y [SORT] => 500 [CODE] => PROHIBIT_ONLINE_PURCHASE [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Запретить покупу онлайн [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => [PROPERTY_VALUE_ID] => [DESCRIPTION] => [~DESCRIPTION] => [~VALUE] => [VALUE_ENUM_ID] => ) ) [DISPLAY_PROPERTIES] => Array ( [DATE] => Array ( [ID] => 47 [IBLOCK_ID] => 2 [NAME] => Дата начало проведения [ACTIVE] => Y [SORT] => 5 [CODE] => DATE [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => DateTime [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Дата начало проведения [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => 14.12.2020 13:29:00 [PROPERTY_VALUE_ID] => 71106 [DESCRIPTION] => [~VALUE] => 14.12.2020 13:29:00 [~DESCRIPTION] => [DISPLAY_VALUE] => 14.12.2020 13:29:00 ) [CITY] => Array ( [ID] => 48 [IBLOCK_ID] => 2 [NAME] => Город [ACTIVE] => Y [SORT] => 9 [CODE] => CITY [DEFAULT_VALUE] => Москва [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => N [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => Y [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Город [~DEFAULT_VALUE] => Москва [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Москва [PROPERTY_VALUE_ID] => 31481 [DESCRIPTION] => [~VALUE] => Москва [~DESCRIPTION] => [DISPLAY_VALUE] => Москва ) [DATES] => Array ( [ID] => 46 [IBLOCK_ID] => 2 [NAME] => Даты проведения, расписание [ACTIVE] => Y [SORT] => 10 [CODE] => DATES [DEFAULT_VALUE] => [PROPERTY_TYPE] => S [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => L [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 2 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => DateTime [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Даты проведения, расписание [~DEFAULT_VALUE] => [VALUE_ENUM] => [VALUE_XML_ID] => [VALUE_SORT] => [VALUE] => Array ( [0] => 14.12.2020 13:29:00 [1] => 18.12.2020 13:29:00 ) [PROPERTY_VALUE_ID] => Array ( [0] => 71107 [1] => 71108 ) [DESCRIPTION] => Array ( [0] => [1] => ) [~VALUE] => Array ( [0] => 14.12.2020 13:29:00 [1] => 18.12.2020 13:29:00 ) [~DESCRIPTION] => Array ( [0] => [1] => ) [DISPLAY_VALUE] => Array ( [0] => 14.12.2020 13:29:00 [1] => 18.12.2020 13:29:00 ) ) [METOD_TEACHING] => Array ( [ID] => 59 [IBLOCK_ID] => 2 [NAME] => Метод обучения [ACTIVE] => Y [SORT] => 30 [CODE] => METOD_TEACHING [DEFAULT_VALUE] => [PROPERTY_TYPE] => L [ROW_COUNT] => 1 [COL_COUNT] => 30 [LIST_TYPE] => C [MULTIPLE] => Y [XML_ID] => [FILE_TYPE] => [MULTIPLE_CNT] => 5 [LINK_IBLOCK_ID] => 0 [WITH_DESCRIPTION] => N [SEARCHABLE] => N [FILTRABLE] => N [IS_REQUIRED] => N [VERSION] => 1 [USER_TYPE] => [USER_TYPE_SETTINGS] => [HINT] => [~NAME] => Метод обучения [~DEFAULT_VALUE] => [VALUE_ENUM] => Array ( [0] => В аудитории ) [VALUE_XML_ID] => Array ( [0] => audience_method ) [VALUE_SORT] => Array ( [0] => 150 ) [VALUE] => Array ( [0] => В аудитории ) [PROPERTY_VALUE_ID] => Array ( [0] => 69722 ) [VALUE_ENUM_ID] => Array ( [0] => 20 ) [DESCRIPTION] => Array ( [0] => ) [~VALUE] => Array ( [0] => В аудитории ) [~DESCRIPTION] => Array ( [0] => ) [DISPLAY_VALUE] => В аудитории ) ) [PRODUCT_PROPERTIES] => Array ( ) [PRODUCT_PROPERTIES_FILL] => Array ( ) [OFFERS] => Array ( ) [OFFER_ID_SELECTED] => 0 [CHECK_QUANTITY] => [ITEM_PRICE_MODE] => S [ITEM_PRICES] => Array ( [0] => Array ( [UNROUND_BASE_PRICE] => 45000 [UNROUND_PRICE] => 45000 [BASE_PRICE] => 45000 [PRICE] => 45000 [ID] => 198 [PRICE_TYPE_ID] => 1 [CURRENCY] => RUB [DISCOUNT] => 0 [PERCENT] => 0 [QUANTITY_FROM] => [QUANTITY_TO] => [QUANTITY_HASH] => ZERO-INF [MEASURE_RATIO_ID] => [PRINT_BASE_PRICE] => 45 000 ₽ [RATIO_BASE_PRICE] => 45000 [PRINT_RATIO_BASE_PRICE] => 45 000 ₽ [PRINT_PRICE] => 45 000 ₽ [RATIO_PRICE] => 45000 [PRINT_RATIO_PRICE] => 45 000 ₽ [PRINT_DISCOUNT] => 0 ₽ [RATIO_DISCOUNT] => 0 [PRINT_RATIO_DISCOUNT] => 0 ₽ [MIN_QUANTITY] => 1 ) ) [ITEM_QUANTITY_RANGES] => Array ( [ZERO-INF] => Array ( [HASH] => ZERO-INF [QUANTITY_FROM] => [QUANTITY_TO] => [SORT_FROM] => 0 [SORT_TO] => INF ) ) [ITEM_MEASURE_RATIOS] => Array ( [198] => Array ( [ID] => 198 [RATIO] => 1 [IS_DEFAULT] => Y [PRODUCT_ID] => 1284 ) ) [ITEM_MEASURE] => Array ( [ID] => 5 [TITLE] => шт [~TITLE] => шт ) [ITEM_MEASURE_RATIO_SELECTED] => 198 [ITEM_QUANTITY_RANGE_SELECTED] => ZERO-INF [ITEM_PRICE_SELECTED] => 0 [EDIT_LINK] => [DELETE_LINK] => [SECTION] => Array ( [PATH] => Array ( ) ) [CAN_BUY] => 1 [ITEM_PRICES_CAN_BUY] => 1 ) ) [ELEMENTS] => Array ( [0] => 1285 [1] => 1283 [2] => 1284 ) [USE_CATALOG_BUTTONS] => Array ( [add_product] => 1 ) )
06 - 07 Августа
19 - 20 Ноября
32 000 ₽
14 - 18 Декабря
45 000 ₽
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