Project Ramanujan

∑ Pre-Statistics

∑ Statistics I Probability Basics Counting Principles Random Variables Key Discrete Distributions Key Continuous Distributions Expectation and Variance Limit Theorems

∑ Statistics II Sampling Distributions Point and Interval Estimation Hypothesis Testing Common Parametric Tests Correlation and Regression

∑ Statistics III Analysis of Variance (ANOVA) Nonparametric Methods Categorical Data Modelling Time Series Analysis Multivariate Analysis Bayesian Statistics Resampling Methods Statistical Machine Learning Integration Case Studies and Capstone Projects