Statistics 2 Part 2: Statistical Inference

From Theory to Real-World Inference

This LSE course is Part 2 of a two-part statistical foundation sequence, building directly on your understanding of probability and basic statistics. You'll go deeper into the theory that powers modern data analysis: sampling distributions, point and interval estimation, hypothesis testing, and ANOVA.

What sets this course apart is its emphasis on applications that matter—econometrics, finance, and quantitative social science. You'll see why the theory isn't just academic; it's the scaffold holding up every regression model, A/B test, and forecast you'll encounter in practice. The course can stand alone, but it's designed as part of the LSE MicroBachelors in Statistics Fundamentals, so each layer builds logically on the last. By the end, you'll have the theoretical foundation to understand—and critique—advanced statistics you encounter in your field.