Data Science Programming Foundations: Python, SQL, and Git

Entering the data field requires more than just knowing how to read a spreadsheet. To work with large datasets and collaborate with technical teams, you need a solid foundation in programming, database querying, and version control. This text-based course guides you through the essential programming skills required for data careers. You will transition from writing your first lines of code to constructing complex database queries and managing collaborative data projects. What you'll learn: - Understand core programming concepts using Python, including data structures, loops, and functions. - Write SQL queries to extract, filter, and aggregate data from relational databases. - Manage data projects efficiently using Git version control and the Unix command line. - Apply modern Python practices, including virtual environments, clean code principles, and basic type hints for data scripts. - Manipulate and clean structured datasets using foundational data analysis libraries. You will begin with foundational definitions and key terminology before moving step-by-step through command-line basics, database fundamentals, and Python programming. Each section includes written explanations and hands-on code exercises to reinforce your learning. This course is designed entirely for beginners with no prior programming or database experience who want to build a strong technical foundation for data science. Start your data journey today by mastering the core tools of the modern data professional.