Statistics with Python

Modern statistical thinking, done in code

University of Michigan built this specialization to teach statistics the way it's actually practiced today — through Python, not just formulas on paper. It covers the full pipeline from descriptive statistics to inference, with visualization built in throughout.

What's covered

• Descriptive statistics, sampling, and probability fundamentals
• Statistical inference and statistical analysis in Python
• Data visualization with NumPy and Matplotlib, including box plots and other statistical plots
• Data literacy — reading and structuring data responsibly

It's set at the beginner level, so prior statistics coursework isn't assumed, though some comfort picking up code will help. With nearly 100,000 learners, it's a well-traveled path into applied statistics — a strong choice for anyone who wants statistical fluency that's immediately usable in real data analysis work, not just theory.