Introduction to data analytics and Python fundamentals
Introduction to probability
Sampling and sampling distributions
Hypothesis testing
Two sample testing and introduction to ANOVA
Two way ANOVA and linear regression
Linear regression and multiple regression
Concepts of MLE and Logistic regression
ROC and Regression Analysis Model Building
X²Test and introduction to cluster analysis
Clustering analysis
Classification and Regression Trees (CART)