BLOCK I - GETTING STARTED:

Introduction to R and RStudio (Course info, R basics)
Creating a dataset (Intro, Data structures, Data input)
Basic data management (Basic data management)
Advanced data management (Math & Stats functions, Data-management challenge, Control-flow and others)
Getting started with graphs (ggplot basics, ggplot details)

BLOCK II - BASIC METHODS:

BLOCK III - INTERMEDIATE METHODS:

Regression basics (Types of regression, Picking the "best" model, Cross-validation)
Analysis of variance (Terminology, One-way ANOVA, Other ANOVA types)
Intermediate graphs (Scatter plots, Line charts, correlograms, mosaic plots)