Chevron Left
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: 3851 - 3875 / 5,011 レビュー

by Thomas D

Jun 15, 2016

Succeeds in conveying course prerequisites, contents and benefits.

by Muhammad S

Apr 25, 2020

Great course but more stuff about R Programming makes it perfect.

by Anies v T

Jun 20, 2019

One instruction-video was not working, but the text was avalable.

by Alejandra M R

Jul 25, 2018

More instruction regarding Git on Mac would be extremely helpful!

by Radhika G

Jul 10, 2018

Week 3 should be more detailed . What they are trying to explain,

by Divya N

Jun 30, 2018

Pretty descriptive for beginners who do not have basic knowledge.

by Dave K

Jun 01, 2017

Great intro class. Some boring lectures if you already know Git.

by Ronnie D

Mar 04, 2017

Good course! Lectures are easy to follow, have good instructions,

by Stefanie H

Dec 09, 2016

Good course; homework exercises are not particularly challenging.

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.


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 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,