Chevron Left
Back to The Data Scientist’s Toolbox

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

33,067 ratings
7,061 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.

Filter by:

6526 - 6550 of 6,961 Reviews for The Data Scientist’s Toolbox

By Doug W

Dec 29, 2016

Good overview. Helpful introduction to topics covered in the specialization.

By Nikolai K

Nov 6, 2017

A good Introductory lesson, but for advanced students it is not nessesarry!

By Divyansh M T

Jul 28, 2017

Very insubstantial, in terms of material. Much more can be done in 4 weeks.

By Mamar H

Jun 25, 2016

A little bite long regarding the concepts number developped in this course.

By Ian W

Aug 30, 2017

Easy course. Everything covered in this course can be found easily online.

By Mohamed A

Jun 20, 2017

Nice introduction but not many new ideas i had recive, but thank you team.

By Hamza T

Aug 9, 2016

A great course. But I still think there is a lot of room for improvement.

By Rajendra V

Feb 26, 2022

Computer voice over is not a great experiment; everything else is great!


Jul 1, 2020

Need more friendly lecture, that's why we can understand topics easily..

By Vishesh k

Jun 16, 2018

Sound quality for every lecture is very disappointing ,very poor quality

By Abhey K

May 27, 2017

A good introduction to data science and the associated issues around it.

By Perruchoud A

Aug 13, 2016

Extremely useful info, but the material is too shallow to be satisfying.

By Daniel R

Feb 7, 2016

It is a good course, however, I would have liked deeper knowledge in git

By caio l

Sep 12, 2017

Really basic, it's only necessary if you have no knowledge in the area.

By Mitchell S G

Nov 12, 2016

Audio on videos was sometimes unclear. Course content was interesting.

By Nate S

Jun 26, 2017

Mostly auditory discussion of concepts. Not so much visual or hands-on

By Aditya C

Jan 4, 2019

Very basic...One must do the entire specialization to make any sense.

By Rupert

Aug 31, 2017

Very basic. Probably unnecessary for anyone with some experience in R

By isha v

Aug 12, 2017

Please include some optional Quizzes/Assignments also for practising.

By Prasen M

Apr 17, 2017

Very basic introductory course. Looking forward to the other modules.

By Juliana N

May 12, 2016

The instructions for using git and git hub left a lot to be desired.

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.