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

4.6
stars
33,976 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

AK

Mar 12, 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.

AI

Apr 24, 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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6376 - 6400 of 7,158 Reviews for The Data Scientist’s Toolbox

By Jyothi R

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May 4, 2020

nice

By Shyam S Y

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Feb 22, 2020

good

By poonam

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Nov 28, 2019

good

By Sk A A

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Jul 10, 2019

Nice

By Jacob C N

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Mar 23, 2019

Good

By Ruben K

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Nov 28, 2018

cool

By shiva s

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Sep 1, 2018

nice

By Anup K M

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Aug 22, 2018

good

By Alessandro D B T

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Apr 29, 2018

Good

By Tiange X

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Jul 14, 2017

good

By dragie

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Apr 5, 2017

good

By Rose S

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Nov 23, 2016

Good

By Chinmoy D

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Nov 6, 2016

Good

By Andika

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May 1, 2016

Good

By Harsha G

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Mar 3, 2016

good

By liyp

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Dec 9, 2017

完成了

By MINHAJUL I

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Jul 19, 2021

..

By Abdul J B A H

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Oct 16, 2020

ok

By Cabes M

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Dec 31, 2016

df

By Aditi D

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Nov 15, 2022

-

By Myriam G

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May 25, 2018

-

By Matthias M

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May 20, 2018

V

By Grant S

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Apr 14, 2017

J

By Andrew D H W

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Feb 15, 2017

G

By Mununur M

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Sep 13, 2016

I