R Beginner Modules

We will be closely following YaRrr and R for Data Science.

TIMELINE:

Quarter 1

  1. Basics, Scalars and Vectors, Vector Functions (YaRrr: Chapter 1-6, 9)

  2. Vector Indexing and Dataframes (YaRrr: Chapter 7-8)

  3. Hypothesis Tests, Regression, Custom Functions, and Loops (YaRrr: Chapter 13, 15-17)

  4. Data Visualization (R for Data Science: Chp 3)

  5. Data Task 1

Quarter 2

  1. Data Transformation (R for Data Science: Chp 5)

  2. Strings, Regex (R for Data Science: Chp 14)

  3. Dates and Times (R for Data Science: Chp 16)

  4. Pivoting (R for Data Science: Chp 12)

  5. Data Task 2

Quarter 3

  1. Vectors (R for Data Science: Chp 20)

  2. Iterations (R for Data Science: Chp 21)

  3. Graphics (R for Data Science: Chp 28)

  4. Data Task 3: Simulations

  5. Data Task 4: CHECC Study