R Programming in Data Science: Setup and Start

Introduction

• Welcome
• Why learn R?
• Base R, tidyverse, Microsoft R, and others
• What you should know before watching this course
• Using the exercise files

1. Set Up Base R

• Why is base R unique?
• Check to see if R is installed
• How to install base R
• Development environments for base R
• A comparison task in base R
• An optimal task for base R

2. Set Up tidyverse R

• Why is the tidyverse unique?
• How to install the tidyverse
• A comparison task using the tidyverse
• An optimal task for the tidyverse

3. Set Up Microsoft R Open

• Why is Microsoft R Open unique?
• How to install Microsoft R Open
• Development environments for Microsoft R Open
• A comparison task using Microsoft R Open
• An optimal task for Microsoft R Open

4. Set Up Bioconductor R

• Why is Bioconductor R unique?
• How to install Bioconductor R
• Development environments for Bioconductor R
• A comparison task using Bioconductor R
• An optimal task for Bioconductor R

5. First Look at R Programming

• Use R interactively
• Use R with command-line arguments

6. Most Common R Packages

• sqldf
• rgl
• data.table
• cluster

Conclusion

• Next steps