R Basics Functions and Packages Programming and Scripts Vectors and Matrices in R Data Manipulation Datasets Graphics PDFs and CDFs Probability Basics Features of Normal Dist-Z Scores Key Distributions T Distributions (Small Samples) Hypothesis Testing Sampling - CLT - Confidence Intervals Simulations Linear Regression and OLS Derivation of OLS Expectations and OVB Hypothesis Testing and RSquared Clean Regression Results Multicollinearity Violations of Unbiasedness Categorical Independent Variables Interaction Terms Non-linear Functional Forms Logistic Regression Lasso and Ridge Regressions Supervised Learning Unsupervised Learning Support Vector Machines