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
30,925 ratings
6,591 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

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.

Filter by:

5051 - 5075 of 6,449 Reviews for The Data Scientist’s Toolbox

By KESHAV P

Apr 18, 2020

SOMETIMES THE COURSE BECOMES VERY BORING .BUT OVERALL A VERY GOOD COURSE

By Deena S

Dec 9, 2018

more hands on exercises (not just in the quiz) for Git would be helpful.

By Guillaume M

May 2, 2018

very comprehensive and simple introduction to the basics of data science

By Chengde W

Jun 13, 2017

Good start for the specialization. Did not like the peer review section.

By Felix H

Oct 17, 2020

I liked the emphasis on setting up for collaborative work using GitHub.

By Ingrid I S L

Jul 22, 2020

Buen curso, ayuda a conocer diferentes herramientas para manejar datos.

By KANHU C P

May 9, 2020

Best suited to beginners. U will get to know many informative concepts.

By Shubham R

Jan 16, 2020

More tools should be included in introduction such as python, hive etc.

By Alexandre S

Apr 28, 2018

Algumas informações estão desatualizadas o que dificulta o aprendizado.

By Mohammad A R B

Mar 26, 2018

This course is an excellent introduction for a Data Science enthusiast.

By Daniel J F

Mar 10, 2018

Pretty useful, wish there was more practice build in on using terminal!

By Seth L

Sep 21, 2017

A decent overview for anyone interested in what the topic is and isn't.

By Karen A

Aug 18, 2017

Good introduction into the tools needed for understanding Data Science.

By Yi-Yang L

Feb 14, 2017

A little bit simple, but maybe it is enough for an introduction course.

By SFA P

Nov 8, 2020

For beginners, the github version control materials are hard to grasp.

By Carlos V

Sep 6, 2020

Buen curso, aunque incomoda que todo sea realizado por una voz digital

By Alberto H P

May 21, 2020

Claro, fácil de seguir y bien secuenciado. Una buena introducción a R.

By Md A H

May 7, 2020

this course is very helpful.i gather many new things from this course.

By gabriel h

Aug 24, 2019

Very good course, need a little update but has very easy do understand

By Jukka H

Feb 5, 2019

It covered the basics of concepts and tools that Data Scientist needs!

By Dolphin L

Sep 13, 2018

A good course. Step by step to create concept for git, github, R tool.

By Adit W

Jan 23, 2017

It was a good introduction. Looking forward to the rest of the course.

By Vijay S

Oct 21, 2016

Covers the basic effectively.Hope it's useful for the upcoming courses

By Mykela G

Jul 15, 2016

This course is a very basic introduction, but I think it is an importa

By Jaheer H A

Jun 5, 2016

Very excellent startup to motivate a one want to become data scientist