Data Science with R
  • Syllabus
  • Lecture Notes
  • Assignments
  • Exercises

Lecture Slides

Title Topic
01-1: Introduction to R Chapter 1: R Introduction
02-0: Clone Github Repositories Chapter 2: Github
02-1: Introduction to Quarto Chapter 2: Quarto
03-1: Importing Files and Exporting to Files Chapter 3: Data Wrangling
03-2: Data wrangling with tidyverse: The Basics Chapter 3: Data Wrangling
03-3: Reshaping and Merging Chapter 3: Data Wrangling
04-1: Data Visualization with ggplot2: Basics Chapter 4: Data Visulization
04-2: Data visualization with ggplot2: More in One Chapter 4: Data Visualization
04-3: Data visualization with ggplot2: Fine Tuning Chapter 4: Data Visualization
05-1: User-defined Function, Loop, and Parallelization Chapter 5: Function and Loop
06-1: How to write R codes, manage Projects, work with RStudio Chapter 6: Reproducibility
07-1: Miscellaneous Useful Functions and Tips Chapter 7: Date and String
08-1: Making Tables with flextable Chapter 8: Make Tables
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