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The Data Scientist’s Toolbox に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による The Data Scientist’s Toolbox の受講者のレビューおよびフィードバック



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
Introductory course



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.


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.


The Data Scientist’s Toolbox: 4076 - 4100 / 5,360 レビュー

by Jinghui Z

Dec 09, 2019

Course can go quicker, the content is useful but it is too little for one week

by Jahnavi T V

Aug 21, 2019

I really feel the entire course is explained so thoroughly for the beginners .

by Manuel R R

Jan 26, 2018

Decent introductory course to Data Science and setting up the necessary tools.

by Kevin C A

Jul 26, 2017

Buen curso introductorio. Le falta quizás profundizar sobre algunas funciones.

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 08, 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 21, 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 C

Jan 26, 2016

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

by Subhash B D

Feb 12, 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 Joel M

Jun 15, 2020

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

by Kārlis 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 André G d L M

Nov 08, 2016

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

by Robert D

Oct 19, 2016

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

by Thierry L B

Aug 08, 2016

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

by Shivam K

Sep 23, 2019

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

by Zbigniew B

Oct 11, 2017

A little basic but a good introduction for the rest of the specialization.

by Souvik R

Aug 14, 2017

Needed. If nothing else at least to know what software we need to install.

by Natalie K

Apr 02, 2017

Very introductory - can finish the class well before the 4 weeks are over.

by Supriya P

Oct 17, 2016

Informative. Making it more elaborate in terms of coding would be helpful.