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

4.6
stars
33,937 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.

SF

Apr 14, 2020

As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.

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By 정한솔

Mar 11, 2017

ver

By YUNMIN K

May 22, 2016

exc

By 袁同浩

Feb 17, 2016

很详细

By Tsai K C

Feb 5, 2016

Goo

By zm z

Feb 26, 2021

ok

By Sujatha

May 9, 2020

ok

By Rohil N

Feb 2, 2018

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By alvaro p

Oct 29, 2017

Ni

By Deleted A

Nov 30, 2016

谢谢

By harsh y

Mar 27, 2022

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By Meidani P

Dec 2, 2021

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By RONIT Z

Oct 26, 2021

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By DIBYARANJAN P

Aug 11, 2020

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By GOKULAN.M

May 28, 2020

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By Rajath K

May 12, 2020

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By Ловягина Ю А

Mar 18, 2019

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By Parth M

Feb 25, 2019

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By Jonathan A F

Jan 6, 2019

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By Veene V

Sep 13, 2018

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By Fabio H R S

Aug 23, 2018

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By Marco G

Mar 5, 2018

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By Baranikumar T

Feb 20, 2018

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By Beatrice S

Dec 19, 2017

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By Seok Y K

Aug 10, 2017

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By Yemi R

Aug 8, 2017

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