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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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5576 - 5600 of 7,152 Reviews for The Data Scientist’s Toolbox

By Harraj S S

Jul 13, 2017

Very nicely presented... easy for a newbie like me too.

Thank you for the effort.

By Debanshu K

May 27, 2017

This was superb in order to create a basic understanding regarding data science.

By William I

Sep 25, 2016

A solid course to kick off the specialization, but not worth taking on it's own.

By Boris B

Feb 13, 2016

I would expect some more methodological material,\though everything else is fine

By Natalie

Sep 14, 2020

Tuve problemas con Markdown, pero todo lo demás lo pude solucionar directamente

By Abdou K

Apr 26, 2020

The Course is very Good but requires more details during the practical examples

By Albert P

Jul 23, 2019

It's fairly basic. Completed the whole course in 1 sitting in about 4-5 hours.

By CJ L

Apr 20, 2018

It is a good start with good background info of resources in data science field

By Rojbin l

Nov 23, 2017

More practical exercises please! Thank you for offering such a valuable course.

By ying2017

Jul 27, 2017

good course somehow a little hard for those who are not native english speakers

By Adya M

Apr 17, 2017

Elaborate introduction to the data science arsenal of tools. Thank you so much.

By Oskar L

Apr 10, 2017

Good introduction to the Data Science and the courses provided here in Coursera

By NUH K

Feb 4, 2021

Only a few videos were not well-scripted, the rest of the course was adequate.

By Caitlin M

Dec 13, 2020

I am a total novice and I am amazed that I was able to learn from this course!

By THOTAKURA B

Sep 1, 2020

Overall course is good but please decrease the communication speed of lecture.

By Jinghui Z

Dec 9, 2019

Course can go quicker, the content is useful but it is too little for one week

By Jahnavi T V

Aug 21, 2019

I really feel the entire course is explained so thoroughly for the beginners .

By Manuel R R

Jan 26, 2018

Decent introductory course to Data Science and setting up the necessary tools.

By Kevin C A

Jul 26, 2017

Buen curso introductorio. Le falta quizás profundizar sobre algunas funciones.

By Xun Y

May 29, 2017

great course, hope professors talks more about github command line operations.

By Josh W

Jan 31, 2017

Very basic. I am hoping it helps guide my time commitment for further classes.

By Dennis J S

Nov 8, 2018

Some of the closed captioning on the videos does not match up with the audio.

By Chris H

Jul 10, 2018

Easy to follow. Practical and useful tools. Lots of good reference materials.

By Ryan H

Aug 20, 2017

Great intro. Pretty basic if you are a programmer but overall worth the time.

By Rafael C

Feb 26, 2017

It would be better if more details included in the lecture on Git and Github.