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

4.6
stars
31,527 ratings
6,698 reviews

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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4251 - 4275 of 6,553 Reviews for The Data Scientist’s Toolbox

By Reeba S

Apr 18, 2020

Great

By Lucio L G

Feb 8, 2020

great

By Tom K

Dec 22, 2019

great

By Horas N

Dec 10, 2019

Great

By reginal s

Nov 27, 2019

Great

By Brendon M

Nov 24, 2019

mmhmm

By shankar

Jan 7, 2019

Great

By xiongyaohan

Nov 12, 2018

g

r

e

a

t

By Saquib A

Sep 15, 2018

Great

By Alvaro B

Aug 7, 2018

great

By Jacob B

Jul 5, 2018

Great

By Jin C

Mar 22, 2018

Liked

By Gong x

Feb 26, 2018

great

By Greg B G

Sep 4, 2017

great

By Xiao, Y T

Jul 27, 2017

很有帮助!

By Jiho K

Jul 23, 2017

Good!

By Shriram J

Jul 17, 2017

great

By MOSTAFA E A M

Jun 10, 2017

Great

By Younsuk

Jun 7, 2017

Good!

By Anne G

Mar 10, 2017

great

By Anand V

Jan 29, 2017

Great

By Marco A P N

Jun 1, 2016

Great

By learn_more

May 9, 2016

非常不错!

By Jaime O H C

Feb 12, 2016

Great