Chevron Left
Back to The Data Scientist’s Toolbox

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

4.6
stars
29,302 ratings
6,234 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....
Highlights
Foundational tools
(243 Reviews)
Introductory course
(1056 Reviews)

Top reviews

SF

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.

LR

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.

Filter by:

4826 - 4850 of 6,101 Reviews for The Data Scientist’s Toolbox

By Patrick S

Oct 01, 2016

Good course stuff. A little bit too fundamental for a programmer.

By Gaurish S

Aug 10, 2016

should contain more tutorials about Git and GitHub functionality.

By HuDie落落

Jul 20, 2016

It would be better if they are these practice teaching in detail.

By Mycal B

Mar 25, 2016

Good course, but it needs to be more difficult and more in depth.

By Germán A P J

Jul 11, 2020

muy bueno, pero deberia estar tambien con subtitulos es español.

By SUVVARI P

May 30, 2020

i have completed my course and not get my certififcate till now

By Raj T

Apr 25, 2020

I got to learn new things which made me do better in DataScience

By Abdul S

Apr 15, 2020

A good introduction for getting started as data scientist and R.

By kopila P

Oct 14, 2019

It's a good start for people who are really new to data science.

By Ying T L

Oct 02, 2018

Hope there could be more demonstrations of the use of the tools.

By Mike Y

Sep 17, 2017

Good starting point, tool download, etc. Like the online format

By Gautam D

Jan 24, 2017

Very basic but needed for people not introduced to R! Thank you!

By Yeshar H

Oct 24, 2016

I would've liked some practical assignments on using Git/Github.

By Francesca I

May 12, 2016

I think you have to say more about git commands and their syntax

By Victor N C G

Mar 26, 2016

I expected more detailed use of Github - otherwise great course.

By Syed A H R

Jul 10, 2020

Good But, I would prefer if a person teaches rather than a bot.

By Abdellah D E B

Jun 24, 2020

It's greate work, but i prefer the human voice than robot's one

By Rishabh

Jun 06, 2020

nice and difficult to deal with r and github for the first time

By Rohit k

May 29, 2020

Better than reading a book. worse than a classroom study though

By Chong C

May 10, 2019

Good for beginners, but the machine voice is a little annoying,

By Yunye H

Sep 08, 2018

A brief introduction into data science and commonly used tools.

By Paul J

Jun 26, 2017

Great intro; very basic; could have more content in one course.

By Olivier G

Aug 17, 2016

I would have liked more information and a broader understanding

By am

Apr 10, 2016

It shows the major tools to use in real life to program with R.

By clinton

Jan 23, 2016

This course is a great introductory course for data scientists.