{"id":13498,"date":"2026-08-10T11:00:06","date_gmt":"2026-08-10T11:00:06","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-practical-sql-for-data-analysis-2024-11\/"},"modified":"2026-08-10T11:00:06","modified_gmt":"2026-08-10T11:00:06","slug":"udemy-practical-sql-for-data-analysis-2024-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-practical-sql-for-data-analysis-2024-11\/","title":{"rendered":"Udemy \u2013 Practical SQL For Data Analysis 2024-11"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Practical SQL For Data Analysis. This course teaches data analysts and technology enthusiasts the essential skills to work with relational databases. The course begins with a foundation in data modeling and key concepts such as primary and foreign keys. Participants then learn how to create databases and manage tables using tools such as MySQL Workbench, including data types, null values, and default constraints. It then covers relationships between tables, including one-to-one, one-to-many, and many-to-many relationships, and introduces more advanced techniques such as cascading updates and deletes to automate relationship management. The course emphasizes mastering the core commands, including INSERT, SELECT, UPDATE, and DELETE, for efficient data manipulation and retrieval. It also teaches how to create and manage clustered and nonclustered indexes to improve performance. Participants\u2019 skills will be enhanced by learning about Views to simplify analysis, Triggers to automate actions, as well as creating stored procedures and scheduling events. Finally, the course concludes with advanced techniques for extracting insights from data using SQL, preparing participants to design, manage, and analyze databases and pursue a successful career in the data field.<\/span><\/p>\n

What you will learn<\/span><\/h3>\n