---
title: "Big Data обучение: как проверить программу курса по заданиям, а не по списку технологий"
url: https://memory.wiki/zluZjggw
updated: 2026-10-10T05:15:44.381Z
source: "api"
---
# Big Data обучение: как проверить программу курса по заданиям, а не по списку технологий

![Иллюстрация 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)

Выбирать обучение по большим данным только по словам Spark, Python и нейросети — примерно как покупать инструмент, не понимая, что собираешься ремонтировать. Знакомый стек ещё не говорит, какую работу ты сможешь выполнить самостоятельно. В одной программе акцент может быть на анализе таблиц, в другой — на построении моделей, в третьей — на надёжной доставке данных. Поэтому главный вопрос к курсу звучит не «сколько технологий включено», а «какую задачу я решу без подсказки преподавателя». Этот материал помогает проверить программу через практику и собрать короткий список вопросов школе до оплаты.

## Сначала определи результат, который можно показать

Запиши один конкретный итог обучения. Не «разобраться в Big Data», а, например, самостоятельно подготовить данные для отчёта, объяснить результаты исследования или построить воспроизводимый процесс обработки. Если итог пока расплывчатый, не торопись выбирать длинную программу. Посмотри вводные задания по разным направлениям и сравни, какие действия тебе интересны: задавать вопросы данным, проверять гипотезы, программировать преобразования или поддерживать систему в рабочем состоянии. Названия профессий пригодятся позже; сейчас важнее характер ежедневной работы.

Затем отдели учебную цель от карьерного обещания. Выполненный проект — проверяемый результат. Гарантированная должность, зарплата или быстрый переход в другую профессию без учёта твоей базы — уже неподтверждённое ожидание. Спроси, что школа действительно предоставляет: задания, проверку, консультации, карьерные занятия. Уточни условия каждого пункта письменно. Так тебе будет проще оценить содержание, не подменяя его впечатлением от рекламы.

## Смотри на вход и выход каждого практического блока

Хорошо описанное задание позволяет понять, с чем работает студент и что сдаёт. Входом могут быть таблицы, набор файлов или описание проблемы. Выходом — запрос, обработанный набор данных, отчёт, код либо объяснение выбранного решения. Попроси пример задания без ответа и критерии проверки. Если школа показывает только красивый финальный экран, ты не узнаешь, кто подготовил данные, сколько шагов выполняет ученик и на каком этапе появляется обратная связь.

Отдельно выясни, можно ли повторно сдать работу после замечаний. Практика становится гораздо понятнее, когда студент видит не только отметку, но и причину: нарушено условие, результат нельзя воспроизвести, отсутствует проверка или вывод не следует из данных. Не требуется, чтобы каждую строчку обязательно обсуждали на личном звонке. Требуется понятный порядок: как задавать вопросы, сколько ждать ответа и что считается исправленной работой.

## Не путай повторение демонстрации с самостоятельной задачей

Скопировать код из урока полезно для первого знакомства, но этого недостаточно для проверки навыка. Посмотри, есть ли задания с изменёнными условиями: другой набор данных, пропущенные значения, новое ограничение, несовпадающая структура файлов. В такой работе приходится выбирать шаги, а не воспроизводить последовательность кликов. Спроси, на каких этапах подсказки исчезают и как преподаватель отличает самостоятельное решение от повторения образца.

При этом не превращай отсутствие готового решения в культ сложности. Начинающему нужны опоры: описание задачи, понятные требования и возможность уточнить условие. Разумная практика постепенно меняет степень самостоятельности. Полезно увидеть эту последовательность в программе: сначала разбор, затем упражнение с поддержкой, потом самостоятельный вариант и обсуждение ошибок. Если промежуточных ступеней нет, уточни, как школа помогает студентам с разной начальной подготовкой.

## Проверь, учат ли работать с несовершенными данными

В учебном примере таблица часто подготовлена заранее. Поэтому задай школе вопросы о грязных и неполных данных: встречаются ли дубликаты, разные форматы, отсутствующие значения, неоднозначные названия полей. Важно не количество необычных ошибок, а необходимость обосновать обработку. Удалить строки можно быстро; объяснить, почему это допустимо для задачи, сложнее. Хорошее упражнение должно позволять увидеть последствия выбранного способа очистки.

Не используй закрытые данные работодателя ради портфолио без разрешения. Для личной практики подойдут открытые или специально подготовленные учебные наборы с понятными условиями использования. Сразу договорись с собой, что результат должен содержать описание происхождения данных и ограничений. Это полезная привычка даже в маленьком проекте: читателю становится ясно, на чём основан вывод и где он перестаёт быть обоснованным.

## Посмотри, что остаётся после проверки проекта

После завершения задания должны оставаться не только скриншоты. Выясни, можно ли сохранить собственный код, пояснения, замечания проверяющего и исправленную версию. Уточни, какие материалы доступны после окончания обучения, что разрешено публиковать и где используется общий шаблон школы. Портфолио легче объяснять, если ты различаешь исходный каркас и свои решения: какие преобразования добавил, какую проверку выбрал, какое ограничение обнаружил.

Попроси показать требования к описанию проекта. Для самостоятельной оценки достаточно нескольких вопросов: понятна ли исходная задача, можно ли запустить работу по инструкции, объяснены ли решения, указаны ли ограничения? Количество файлов и объём кода сами по себе ничего не доказывают. Небольшой завершённый проект с ясной логикой может быть полезнее огромного набора скопированных блокнотов, которые студент не способен объяснить.

## Как сравнивать Big Data онлайн курсы без лишней суеты

Возьми три программы и запиши одинаковые поля: предполагаемый результат, входные знания, пример самостоятельного задания, формат проверки, порядок исправления и доступ к материалам. Пустые пункты не заполняй догадками. Отправь школе короткий список вопросов и сохрани ответ. Подборку [big data онлайн курсы](https://kgam.blog/big_data_courses) на KGAM можно использовать для поиска направлений; действующие условия конкретной программы нужно уточнять у самой школы.

Не пытайся сравнить всё сразу. Если у тебя нет основы в программировании, сначала выясни входной порог. Если времени мало, начни с календаря обязательных занятий и самостоятельных работ. Если цель — освоить определённую задачу, проверь соответствующий проект. Такой порядок отсеивает неподходящие варианты раньше, чем ты начнёшь спорить с собой о второстепенных бонусах. Рейтинг помогает найти кандидатов, но не принимает решение за тебя.

## Практический итог

До оплаты попроси один пример задания и проверь, понимаешь ли ты его условие хотя бы на уровне действий. Не обязательно сразу решить задачу. Важно увидеть, какая база потребуется, где появится самостоятельный выбор и кто объяснит ошибки. Затем попробуй разместить небольшой учебный блок в обычной неделе: просмотр, практика, исправление, повторение. Если план держится только на идеальном отпуске без других дел, пересмотри нагрузку до покупки.

Выбирай программу, по которой можешь объяснить маршрут от исходной задачи до проверенного результата. Большие данные — не соревнование по числу модных слов. Тебе нужен понятный следующий шаг, работа с реальными ограничениями и возможность разобраться в ошибке. Зафиксируй, какие сведения подтверждены, чего школа ещё не ответила и по какому признаку ты решишь, что этот вариант подходит. Это и будет нормальной основой выбора, без обещаний чудес и рекламной шелухи.


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## Summary
To evaluate a Big Data course effectively, one should assess the practical assignments rather than relying on a list of covered technologies. This approach ensures that the curriculum focuses on applying skills to real-world tasks instead of merely mentioning tools.

## Themes
- Big Data education
- course curriculum validation
- practical skill assessment
- tech-agnostic learning

## Key takeaways
- A course should be evaluated by the tasks students perform rather than the tools they learn.
- Technology lists in course descriptions are often marketing tools that do not reflect the depth of the curriculum.
- Practical assignments are the primary indicator of whether a student will be prepared for real-world Big Data challenges.
- Curriculum design should prioritize the ability to solve data problems over the mastery of specific vendor products.

## Insights
- The document argues that evaluating a course based on a list of technologies is ineffective because tools change faster than fundamental concepts.
- Effective curriculum validation relies on the quality and complexity of practical assignments rather than the specific software stack taught.
- A focus on technology lists often masks a lack of depth in problem-solving and architectural understanding.

## Open questions / gaps
- What specific criteria or rubric should be used to evaluate the quality of a Big Data assignment?
- How can students distinguish between high-quality practical tasks and superficial exercises before enrolling in a course?

