Statistical Programming in R
Statistical Programming in R
Syllabus
Schedule
Materials
Assignments
Resources
Overview
Materials Overview
Lectures
Lecture 1: Intro to R & Data Science
Lecture 2: R & Rmarkdown
Lecture 3: Visualization with `ggplot2`
Lecture 4: Data Wrangling with `dplyr`
Lecture 5: Exploratory Data Analysis
Lecture 6: Advanced Data Wrangling with `dplyr`
Lecture 7: Tidy data and `tidyr`
Lecture 8: Relational Data and Joins
Lecture 10: Working with strings and `stringr`
Lecture 11: Factors and Dates
Lecture 12: Functions & Control Flow
Lecture 12: Loops & Iteration
Readings
Readings Week 1
Readings Week 2
Readings Week 3
Readings Week 4
Readings Week 5
Readings Week 6
Readings Week 7
Readings Week 8
Readings Week 10
Readings Week 11
Readings Week 12
Readings Week 13
Readings Week 8
Due by
11:20 AM
on Thursday, March 18, 2021
Read
R4DS Chapter 13
Cite
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