Coursera
SQL for Data Science (and Version Control with GitHub)
Coursera

SQL for Data Science (and Version Control with GitHub)

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
31 hours to complete
3 weeks at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
31 hours to complete
3 weeks at 10 hours a week
Flexible schedule
Learn at your own pace

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Recently updated!

June 2025

Assessments

10 assignments

Taught in English

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Build your Data Analysis expertise

This course is part of the Python, SQL, Tableau for Data Science Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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There are 5 modules in this course

In this introductory module, you'll jumpstart your journey into the world of SQL and data science. You'll set up a professional-grade development environment using Jupyter Notebooks, master basic SQL syntax, and craft your first SELECT statements with WHERE clauses. Beyond coding, you'll dive into version control with Git, learning the exact tools and workflows that data teams use in collaborative projects. Through a dynamic mix of video lectures, readings, and hands-on labs built around real-world scenarios, you'll transform from a beginner to a confident SQL developer. By the module's end, you'll have a powerful toolkit for writing queries and managing code, plus the professional workflows you'll need for the exciting challenges ahead in this course.

What's included

2 videos10 readings1 assignment1 programming assignment3 ungraded labs3 plugins

In this module, you'll dive into the heart of SQL data manipulation, mastering essential techniques that data analysts use every day. You'll start with fundamental SELECT statements and progress to powerful data combination methods across multiple tables. Through hands-on practice with the BookCycle dataset, you'll learn to sort, filter, and aggregate data like a pro. By the end of this module, you'll craft queries that transform raw data into actionable business insights, and even explore how to optimize your queries using modern AI tools.

What's included

1 reading2 assignments4 ungraded labs2 plugins

In this module, you'll move beyond basic SQL by learning powerful techniques like subqueries, Common Table Expressions, and window functions - essential tools for advanced data analysis. Through hands-on practice with the BookCycle dataset, you'll master the art of writing efficient queries that handle multi-layered business questions. You'll also leverage AI tools to optimize your queries for better performance. By the module's end, you'll command an advanced SQL toolkit that separates novice coders from professional data analysts.

What's included

2 readings3 assignments4 ungraded labs2 plugins

In this module, you'll master essential data preparation and management skills - the foundation of reliable analysis. You'll learn to transform messy data into analysis-ready datasets through cleaning techniques and data manipulation operations. Working with the BookCycle dataset, you'll explore database schemas, optimize performance, and handle data across different formats. By the module’s end, you'll be able to use AI tools for optimization and integrate SQL workflows into broader data science projects.

What's included

2 readings3 assignments6 ungraded labs3 plugins

In this final module, you'll bring together everything you've learned throughout the course to tackle a comprehensive real-world data analysis challenge. Working with the TechMart retail dataset, you'll utilize your SQL skills to clean messy data, craft complex queries, and generate actionable business insights. You'll apply advanced techniques like window functions and CTEs, optimize query performance, and leverage AI tools to enhance your workflow. You’ll build a complete data analysis report, encompassing the project from initial data exploration to final presentation of findings. This capstone project simulates real-world data analysis, giving you both a portfolio piece and practical experience solving business problems.

What's included

1 video3 readings1 assignment1 ungraded lab

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