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

27,789 ratings
5,854 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 15, 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 08, 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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4326 - 4350 of 5,724 Reviews for The Data Scientist’s Toolbox

By Tanya S

Jul 18, 2020

Good content. Easy Accessibility. Clear and precise learning. loved learning this course :)

By Ben W

Jun 17, 2020

Good introduction to the tools that will be used in the rest of the courses in this series.

By Hongxuan Y

Feb 05, 2020

This course would be quite helpful for those who step into data science for the first time!

By Aman K

Jun 05, 2018

Good course, can be better with some small tweaks here and there otherwise well structured.

By Nana A B

Jun 02, 2018

This course definitely gave me a great overview of what to expect in the data science field

By Matheus P S

Feb 12, 2018

Como curso introdutório das ferramentas muito bom. Achei um pouco longo desnecessariamente.

By Changlin Z

Aug 28, 2017

very good starting point for people does not have any background in stats and R programming


Jun 07, 2020

peers reveiw should be removed rather than that something other assingment should be given

By Samin Y

Apr 26, 2020

The course was super easy but super effective. Thank COURSERA for this amazing experience.

By Matt K

Jun 10, 2018

Instructors could do more demonstrations to make things more clear. Other than that, fine.

By Gautam J

May 22, 2018

This is course teaches the basics and installation only but is very good for that purpose.

By Diego G

Feb 05, 2016

Me quedó un poco vacio lo de GIT, tuve que averiguar más por mi mismo, pero esa es la idea

By Sameera K

Feb 27, 2019

This course appeared to have some irrelevant material, but perhaps it'll be useful later.

By Philip T

Apr 14, 2016

A good introduction to the subject area. It would be nice to see more real-life examples.

By Claudia Y P

Feb 25, 2016

Gives a good intro to Data Science and makes sure you get the essential tools downloaded.

By Stanislav G

Jul 10, 2020

There are some parts of the course especially on week 1 and 2 that are too introductory.

By michael s

Feb 10, 2020

Great course to get started with R Studio and Version control that actually makes sense.

By soumyadeep B

Jun 07, 2018

It would be helpful if the courses on git are explained in a bit more detail

Thank You :)

By Deepti T

Apr 06, 2017

Very Good for basic understanding of Data Science and the tools used by Data Scientists.

By Cassandra S

May 26, 2016

Straightforward, interesting, and easy to follow. I wish it were a bit more challenging.

By Sara H

Nov 24, 2018

Gitbash is a little challenging, but Googling questions is helpful for troubleshooting.

By Ajendra S

Apr 05, 2018

Very basic stuff. Creator only focused on creating environment of the upcoming courses.

By Navroop K

Mar 17, 2018

A good introduction to the tools. Assignments are very helpful in learning the concepts

By Parker C

Oct 25, 2017

It was pretty easy, but essential to the rest of the specialty so I think it was great.

By Ahuitz R

Sep 09, 2017

Indispensable if you don't know anything about R or data analysis, skippable if you do.