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Learner Reviews & Feedback for SQL for Data Science (and Version Control with GitHub) by Coursera
About the Course
Master industry-standard SQL and database management in this comprehensive course designed for aspiring data professionals. Through hands-on projects and real-world datasets, you'll progress from basic queries to advanced data manipulation techniques, enhanced by modern AI tools.
This course is perfect for beginner/intermediate level data enthusiasts and Excel-savvy professionals ready to advance their data skills. Starting with basic database concepts and progressing through real-world scenarios, you'll develop the practical skills needed for modern data analysis roles, culminating in a capstone project that demonstrates mastery of SQL fundamentals, advanced querying techniques, database optimization, and professional documentation practices.
Upon completion, you'll be able to:
• Write complex SQL queries using advanced techniques including subqueries, CTEs, and window functions
• Design and optimize database schemas for improved performance and data integrity
• Clean, transform, and analyze data using professional SQL workflows
• Integrate AI tools to enhance query optimization and automation
• Build comprehensive data analysis reports using version control best practices with high school students and professionals with an interest in programming.
Top reviews
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1 - 3 of 3 Reviews for SQL for Data Science (and Version Control with GitHub)
By Michael A
•Jul 22, 2025
Really teach practical lessons. And I like how it forces me to find out a couple things by myself. The coach feature is also helpful to understand the learning context
By Daniel W
•Aug 15, 2025
Wasn't given instructions on how to use/download the jupyter notebook
By Vishal A
•Aug 7, 2025
this course is not providing detail explanation of sql queries. Moreover video lectures are provided here