Data Science
Use Python to load, clean, and explore data — turning raw observations into answers.
Data science is the discipline of turning raw data into understanding. That means loading data from files, inspecting its shape, finding the problems in it, cleaning them, and finally asking questions with statistics and grouping. Every step requires both programming skill and clear thinking about what the numbers actually represent.
This track focuses on the practical core: the Python tools — especially pandas — that working data scientists reach for every day. You will build real intuition for why those tools are shaped the way they are, not just which functions to call.
Work through the Fundamentals track and at least the Python Core Syntax module alongside this track. The concepts there — variables, loops, functions — are what make the pandas patterns here feel like natural extensions rather than magic.