Statistical Thinking and Data Analysis
An MIT Sloan School of Management course introducing statistical data analysis through applied probability, sampling theory, estimation, and hypothesis testing, then moving into linear regression, analysis of variance, categorical data analysis, and nonparametric methods. Materials on MIT OpenCourseWare include lecture notes, problem sets, and exams covering each topic, aimed at students building a working toolkit for analyzing real data rather than just proving theorems. The course treats statistics as a way of reasoning under uncertainty, connecting probability foundations to the practical techniques used in business and social science research. Available free through MIT OpenCourseWare under a Creative Commons license, with no certificate offered since OCW does not grant credentials, only self-study access to the course's original teaching materials.