R for Business Students

This section is for ACCT 426 and BUDA 451 students in Fall 2024.

R - Core language and skills

• r01. Introduction to rStudio
• r02. Introduction to R’s core syntax and types (Datacamp Introduction to R)
• r04. Project and Rmd files
• r10. dplyr: select, filter, mutate, arrange, and pipe
• r11. dplyr: group by, summarise, and join
• r12. dplyr: pivot
• r15. Loading data
• r20. ggplot 1: Introduction
• r21. ggplot 2: Making plots pretty
• r22. ggplot 3: Making maps
• r30. Conditionals (Datacamp Intermediate R - Conditionals and Control Flow)
• r31. Loops (Datacamp Intermediate R - Loops)
• r32. Functions1 (Datacamp Intermediate R - Functions )
• r33. Functions2 (List of useful functions )
• r80. Dates

Statistics and Machine Learning

• ml00. Modeling the world
• ml01. Statistics Refresher
• ml02. Machine Learning in Business (Datacamp Machine Learning for Business)
• ml03. Exploratory Data Analysis in R (DataCamp Exploratory Data Analysis in R)
• ml10. Regression 1 (DataCamp Introduction to Regression in R)
• ml11. Regression 2 (DataCamp Supervised Learning in R: Regression)
• ml40. Unsupervised Learning
• ml50. Supervised Learning

Other useful links

• dv10. Writing an effective report

Application problem

See problems on GitHub

Other tutorials:

• Regression and other stories
• FastR
• R Ladies
• Swirl
• Hands-on with R
• Building reproducible analytical pipelines with R