- Development Environment
- Rmarkdown
- Github
- Data Analysis
- Data Science
- Version Control
- Git (Version Control System)
- Integrated Development Environments
- Statistical Programming
- Software Installation
- R Programming
The Data Scientist’s Toolbox
Completed by Mark Kudel
September 16, 2019
17 hours (approximately)
Mark Kudel's account is verified. Coursera certifies their successful completion of The Data Scientist’s Toolbox
What you will learn
Set up R, R-Studio, Github and other useful tools
Understand the data, problems, and tools that data analysts use
Explain essential study design concepts
Create a Github repository
Skills you will gain
