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

4.6
stars
33,838 ratings

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 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.

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.

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5576 - 5600 of 7,126 Reviews for The Data Scientist’s Toolbox

By Xun Y

May 29, 2017

great course, hope professors talks more about github command line operations.

By Josh W

Jan 31, 2017

Very basic. I am hoping it helps guide my time commitment for further classes.

By Dennis J S

Nov 8, 2018

Some of the closed captioning on the videos does not match up with the audio.

By Chris H

Jul 10, 2018

Easy to follow. Practical and useful tools. Lots of good reference materials.

By Ryan H

Aug 20, 2017

Great intro. Pretty basic if you are a programmer but overall worth the time.

By Rafael C

Feb 26, 2017

It would be better if more details included in the lecture on Git and Github.

By Brett

Jan 25, 2016

Walks you step by step getting you setup and familiar with the core software.

By saman j

Jul 16, 2022

The course gives a best view to overall Data science in an orgenized manner.

By Kingsley A

Dec 3, 2020

Well structured. Good entry-level course for a data science

specialization.

By Michael A

Aug 25, 2020

This is my first ever online course and I have very little to compare it to.

By Sumedha B

Jul 17, 2020

Great course for beginners to learn basics of Installing R and using GitHub!

By Subhash B D

Feb 11, 2020

Really good for Beginners who are interested in learning ML related tools...

By Yuting Y

Jul 16, 2018

give me a basic idea. course quite easy, but need to learn more to be useful

By Amelia L

Sep 14, 2016

Helpful introduction to people who have little experience with GitBash and R

By Opeyemi S

Dec 14, 2020

It was a good course but the automated voice would take some getting use to

By Joel M

Jun 15, 2020

This is a really good course to begin with. I highly recommend this course.

By Karlis L

Aug 22, 2017

Good basics, but 4 weeks is way too long for such small amount of new info.

By Michael M

Aug 14, 2017

Good class. Need to update the content though. Same from at least two years

By Andre M

Nov 7, 2016

Com o curso conseguir aprender muito e hoje posso colocar em meu dia a dia.

By Robert D

Oct 18, 2016

Good introductory course to get started on the Data Science Specialization.

By Thierry L B (

Aug 8, 2016

Good and relatively easy course. Perfect to establish personal confidence.

By Haoyi W

Sep 16, 2022

I have difficulty in connect rstudio and git. Others are great and awsome.

By Victor G

Mar 7, 2021

very good course, i think there could be a little more about R programming

By Layla S

Jul 26, 2020

I've learned a lot taking this course and I look forward to learning more.

By Shivam K

Sep 23, 2019

course is pretty good but the accent used by instructer should be improved