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SQL практикум на базе MySQL (полный курс)

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4.89(3.1K students)

Self-paced

All Levels

About this course

Этот курс посвящён всестороннему изучению SQL и работе с базами данных на примере MySQL. Материал построен от основ к сложным темам и рассчитан на практическое освоение языка: от установки сервера и настройки окружения до проектирования базы, написания запросов и работы с транзакциями. Мы начнём с установки MySQL и работы в терминале, познакомимся с графическими IDE (Workbench, DBeaver) и базовыми способами взаимодействия с сервером.

Затем разберём структуру базы: первичные и внешние ключи, индексы, типы данных, правила именования объектов, таблицы-справочники и ER-диаграммы. Освоим команды DDL и DML, научимся добавлять, обновлять и удалять данные, фильтровать и сортировать записи, использовать агрегирующие функции, группировку, подзапросы и соединения. Дальше курс охватывает расширенные возможности SQL: оконные и рекурсивные табличные выражения, представления, хранимые процедуры, пользовательские функции, триггеры, переменные и работу с транзакциями, блокировки и уровни изоляции.

Особое внимание уделено анализу запросов (EXPLAIN), оптимизации и предотвращению SQL-инъекций. Кому будет полезен курс:новичкам, желающим изучить SQL с нуля;студентам для практики проектирования и написания запросов;ИТ-специалистам для систематизации знаний и расширения опыта работы с MySQL. Чему вы научитесь:проектировать базы данных и работать с таблицами;писать различные SQL-запросы и оптимизировать их выполнение;использовать процедуры, функции, триггеры и переменные;работать с транзакциями, блокировками и анализировать выполнение запросов;безопасно взаимодействовать с базой данных, предотвращая ошибки и SQL-инъекции.

Курс полностью практический, с примерами, заданиями и контрольными вопросами. Добро пожаловать на курс и успехов в изучении SQL!

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Database Design & DevelopmentRussian

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Level: All Levels

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Duration: Self-paced

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SQL is one of the most important technical skills for Business Analysts, Data Analysts, MIS professionals, and professionals working with business intelligence. While theoretical knowledge is useful, practical SQL skills are essential for extracting, transforming, analyzing, and interpreting business data.This practice-based course is designed to help learners test and strengthen their SQL knowledge through 200 carefully selected multiple-choice questions and answers.The course covers essential SQL topics including SELECT statements, WHERE clauses, ORDER BY, aggregate functions, GROUP BY, HAVING, joins, subqueries, CASE statements, NULL handling, date functions, string functions, data cleaning, window functions, Common Table Expressions (CTEs), KPI analysis, sales analytics, customer analytics, inventory analytics, financial analytics, and SQL performance concepts.Each question presents a practical business situation, SQL concept, or analytical requirement followed by four answer choices. Learners can evaluate their understanding, identify knowledge gaps, and improve their ability to apply SQL in professional business environments.The questions are designed around common workplace scenarios such as analyzing sales performance, identifying top customers, calculating revenue growth, monitoring inventory, evaluating customer retention, preparing financial reports, and supporting management dashboards.Whether you are preparing for a Business Analyst or Data Analyst interview, pursuing an MBA in Business Analytics, learning SQL for Power BI or Excel-based reporting, or working in sales and MIS, this course provides valuable practice material.This course is especially useful for beginners, fresh graduates, aspiring analysts, and working professionals who want to build confidence before working with real-world databases and analytics projects.By completing these 200 practice questions, learners can reinforce their SQL fundamentals, improve analytical thinking, strengthen problem-solving abilities, and develop a practical understanding of how SQL supports business decision-making.Practice consistently. Query intelligently. Analyze business data with confidence

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