How to Process, Analyze and Visualize Data
A short MIT OpenCourseWare class built around the practical steps of working with raw data. Taught during MIT's Independent Activities Period, a compressed four-week January term, the course walks through cleaning messy datasets, extracting meaningful variables, applying basic statistical tools, and building visualizations that communicate findings clearly. Lessons use concrete worked examples rather than abstract theory, so you see the full path from an unprocessed spreadsheet to a finished chart or summary statistic. Materials are published freely through MIT OpenCourseWare and include the original course content used with MIT students, licensed for reuse under Creative Commons. There is no certificate or grading, just the lecture materials and exercises for self-study. It suits anyone who wants a compact, hands-on introduction to the data analysis pipeline without wading into a full semester-length statistics or programming course.