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

32,474 ratings
6,928 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....
Foundational tools
(243 Reviews)
Introductory course
(1056 Reviews)

Top reviews

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.

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.

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6401 - 6425 of 6,816 Reviews for The Data Scientist’s Toolbox

By Revanth T

Feb 15, 2016

Very Basic Course. Doesn't require the time that was allotted to it.

By Matthew K

Mar 10, 2016

Probably more useful for someone with no background in programming.

By Arslan R

Feb 8, 2019

good for introduction. The sound quality is low. Can be shortened.

By Rustick T

Nov 22, 2017

Ne présente qu'un ensemble restreint des outils du data scientist.

By rotem n

Sep 13, 2016

too easy,

i wish we had more things do submit so we will learn more

By Haojun S

Sep 12, 2016

The introduction of how to use github is undetailed in my opinion.

By Rakesh

Apr 10, 2016

Too simple. Personally feel this can be clubbed with R Programming

By Kalle H

Oct 11, 2017

OK introduction to specialisation but now very useful on its own.

By Luca C

Nov 14, 2016

Not really specific, just a broad indtroduction to data analysis.

By Chris B

Aug 25, 2017

I was a fan but I loathe the fact you cannot review the quizzes.

By Christian C

Mar 1, 2017

Good for a beginners course, could be a little more challenging.

By Mikołaj

Jul 2, 2019

Good course, but in 4 weeks you will get only basics of basics.

By Akash G

May 8, 2018

Course is good but I personally feel that course lacks content.

By Aldy S D R

Feb 18, 2018

I have a problem with the sound. That quality is so bad I think


Sep 26, 2017

The course is way too basic and can be completed within 2 hours

By Marcio H M

Aug 31, 2016

This one is just a warm up for the Data Science Specialization.

By Amar H

Apr 19, 2020

please improve the whole layout. introductions and so forth.


By Douglas P

Jun 27, 2016

It's a good preview, but very little is actually learned here.

By 30_Pirthvi H G

Aug 2, 2020

Not informative as expected. Please include more information.

By Ja-Eun L

Jun 6, 2018

Not sure it can constitute as one course - was helpful though


Oct 13, 2016

Interesting, but could be improved with further applications.

By Jia Z

May 22, 2016

Not much content for this course, can be done in a few hours.

By Pablo G

May 14, 2016

great content, a little long course for the provided content

By Prazzal D

May 2, 2020

This course was too much theoritical but was a good course

By William E

Feb 13, 2016

Very basic if one has already worked with software before.