R: An Introduction

Course Description

R, a free, open-source, statistical programming language, is possibly the single most important tool in data science. In this non-technical overview, learn what makes R special and how it can be used to make data science easy, efficient, and insightful.

Course Information

  • Introductory level
  • 20 streaming video tutorials
  • 2 hours 11 minutes of instruction

Note. To navigate the videos, click on the menu icon (☰) in the top left of the video.

Table of Contents

1. INTRODUCTION

  1. Welcome (2:18)

2. SETTING UP

  1. Installing R (4:56)
  2. RStudio (4:53)
  3. Packages (7:24)

3. BASIC GRAPHICS

  1. plot() (8:34)
  2. Bar charts (4:21)
  3. Histograms (7:34)
  4. Scatterplots (4:55)
  5. Overlaying plots (7:51)

4. BASIC STATISTICS

  1. summary() (3:19)
  2. describe() (4:29)
  3. Selecting cases (5:56)

5. ACCESSING DATA

  1. Data formats (15:25)
  2. Factors (6:55)
  3. Entering data (5:45)
  4. Importing data (8:11)

6. ANALYZING DATA

  1. Hierarchical clustering (7:06)
  2. Principal components (9:41)
  3. Regression (9:20)

7. CONCLUSION

  1. Next steps (2:04)