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Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University

4.6
stars
33,988 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

LR

Sep 7, 2017

It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.

AI

Apr 23, 2018

This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.

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7151 - 7160 of 7,160 Reviews for The Data Scientist’s Toolbox

By Ali

•

Jan 28, 2025

not beneficial

By Eduardo C

•

Mar 17, 2021

i can't quit!

By Thomas V

•

Dec 15, 2018

For beginners

By Deleted A

•

Sep 5, 2016

very basic.

By Suman B

•

Apr 6, 2020

Robotic.

By pengwei

•

Apr 20, 2017

annoying

By pavani

•

Oct 17, 2016

very bad

By Warren

•

Feb 8, 2016

Not Free

By Mohammed S

•

Jul 16, 2020

poor

By Andrew P

•

Feb 9, 2016

I'm