August 20: Getting Started
August 27: Data Types
September 3: Vectors, Matrices, Dataframes and Lists
September 10: Generating Objects
September 17: Subsetting, Random Numbers
September 24: Writing Functions, Programming
October 1: Object-Oriented Programming, Vector Arithmetic, Linear Algebra
October 8: Working with Characters
Midterm Exam
October 15: Data Input/Output, Transfering R Objects, Graphs
October 22: Model Notation, Numerical Methods
October 29: Environments, Libraries, Customizing R
November 5: ggplot2, Rcpp, Parallel Computing
November 12: I/O revisited, tidyverse
November 19: shiny
November 26: lubridate, forcats, github
December 3: Statistics with R
Final Exam