Course curriculum

  1. 1

    • Google Subtitles Instructions

    • 1. RStudio & RMarkdown

    • 2. R vs. Python, Basic Math, Booleans

    • 3. Variable Assignment

    • 4. Vectors

    • 5. Matrices

    • 6. Some Useful Vector-Based Functions

    • 7. Strings & Characters

    • 8. Conditionals

    • 9. For Loops & While Loops

    • 10. Defining Functions

    • 11. Shiny Dashboards
  2. 2

    • 1. Intro to Working with Data

    • 2. Select

    • 3. Filter

    • 4. Mutate

    • 5. Arrange

    • 6. Group By & Summarise
  3. 3

    • 1. Basic Plots in R

    • 2. Intro to ggplot2 and Creating Scatterplots

    • 3. Boxplots

    • 4. Barplots

    • 5. Histograms

    • 6. Faceted Graphs

    • 7. Examples of ggplot2 Capabilities
  4. 4

    • 1. Correlation Coefficients

    • 2. Standard Deviations

    • 3. Confidence Intervals

    • 4. One Sample T-Test

    • 5. Two Sample T-Test

    • 6. Two Sample T-Test of Proportions

    • 7. ANOVA