- Exploratory Data Analysis
- Software Installation
- R Programming
- Data Science
- GitHub
- Rmarkdown
- Statistical Programming
- R (Software)
- Version Control
- Data Analysis
- Data Literacy
The Data Scientist’s Toolbox
Completed by Angel Aguilera Avila
August 21, 2016
17 hours (approximately)
Angel Aguilera Avila'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
