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.

The Data Scientist’s Toolbox

The Data Scientist’s Toolbox
This course is part of multiple programs.



Instructors: Jeff Leek, PhD
Access provided by NIH/NIMH
772,710 already enrolled
34,089 reviews
What you'll 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'll gain
Tools you'll learn
Details to know

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- Learn new concepts from industry experts
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There are 4 modules in this course
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Reviewed on Oct 7, 2020
Great course content and very much informative with the different options of learning either through text or video. A good introductory course to the Data Science: Foundations Using R Specialization.
Reviewed on Mar 11, 2020
I would like to thank Coursera and Johns Hopkins University for the course, I learned new things in the course which I think is the next step which can help me to accomplish my future goals.Thank you.
Reviewed on Apr 17, 2024
Very helpful setting up tools. I also appreciate the option to skip the videos entirely - reading the text/image version instead encouraged me to play around with the subject matter while reading.





