The Data Scientist’s Toolbox
Updated on
Course overview
- Provider
- Coursera
- Course type
- Free online course
- Level
- Mixed
- Deadline
- Flexible
- Duration
- 18 hours
- Certificate
- Paid Certificate Available
- Course author
- Jeff Leek, PhD
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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
Description
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
