Course homepage of "Programming Language for Data Analytics" @Korea University

• TBA

• Assignment 1
  • Due date: TBA
  • R file with your answer must be submitted via e-mail: [email protected]
  • Title format: Assignment number, student id, and name
  • Example: R1_202012345_홍길동

• What is data analytics?
• What can we do with data analytics?
• Data analytics language: R & Python

• R Overview (Slide. Video)
• R & RStudio Installation (Slide, Video)

• Handling Different Data Types: Vector (Slide, R Script, Video)
• Handling Different Data Types: List, Matrix, and Arrary (Slide, R_Script, Video (Part1), Video (Part2), Video (Part 3))
• Handling Different Data Types: Factor and Dataframe (Slide, R Script, Video (Factor), Video (Dataframe))
• Handling Different Data Types: Strings (Slide, R Script, Video)

• Conditions: if, if-else, ifelse (Slide, R Script)
• Loops: for, while, repeat-break (Slide, R Script)
• Functions (Slide, R Script)

• dplyr basics
• Select(), Filter(), Arrange(), Summary(), Group_by()

• XPath syntax, CSS Selector
• Web Scraping using rvest
• arXiv paper scraping, IMDB movie review scraping

• Basic graphs
• Graphs with ggplot2 package

• Markdown syntax
• R Notebook syntax
• Output file configuration: HTML, PDF, etc.