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Introduction to Reproducible Data Science
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Table of contents
1
Preface
2
What is reproducible science?
3
Reproducible Science Tools & Platforms
4
R Primer (Syntax and Basic Functions)
5
Anatomy of an R Project
6
Working with Dates
7
Data Wrangling - Special considerations with survey data
8
Data Wrangling and Visualization of Big Data
9
Working with Text Data
10
Working with JSON data
11
Working with APIs
12
Regression, and Multilevel Modeling
13
Resources
14
Workshops
15
Recordings
16
Closing & Acknowledgements
Ch. 15
Recordings
Intro to Reproducible Science: July 6, 8, 11th, 2022; 11am to 2pm
Day 1
: Recording coming soon!
Day 2
: Recording coming soon!
Day 3
: Recording coming soon!
14
Workshops
16
Closing & Acknowledgements
On this page
15
Recordings