Back to The Data Scientist’s Toolbox
Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
34,068 ratings
About the Course
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.
Highlights
Foundational tools
(243 Reviews)
Introductory course
(1056 Reviews)
Top reviews
NB
Jun 2, 2017
Nice Course. Basics are very well taught in this course.Thank you JHU and Coursera for this course. I have decided to donate 10% of my first salary to coursera once I am complete this and get intern.
DZ
Jun 16, 2021
Generally, it is a great class. However, a part is missing in the R Markdown section. You cannot convert RMD to pdf without installing tingtex package. This content should be included in the video.
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7176 - 7179 of 7,179 Reviews for The Data Scientist’s Toolbox
By pavani
•Oct 17, 2016
very bad
By Warren
•Feb 9, 2016
Not Free
By Mohammed S
•Jul 17, 2020
poor
By Andrew P
•Feb 9, 2016
I'm