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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 24, 2018

This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.


The Data Scientist’s Toolbox: 3851 - 3875 / 4,209 レビュー

by Antonio M

Dec 05, 2017

I suppose it is ok as a foundation. Otherwise, it doesn't offer much on its own.

by Caleb J

Feb 25, 2018

Not a lot of good information. Just introducing you to the programs being used.

by عبدالحميد ع ع

Nov 29, 2017

all the content of the course could be a week of some course of specialiazation

by JiHong K

Oct 21, 2017

Too simple and most contents are overlapped (already covered) in other sessions

by fengming s

Mar 17, 2016

Upgrade to submit? That's meaningless. Especially for this fundamental course.

by Max

Oct 03, 2017

It was good as an introduction , meanwhile its contents are little for 4 weeks

by Calvin K

Feb 26, 2016

It's way to easy to be a separate course. It should be part of R Programming.

by Marc m

Nov 10, 2019

This first toolbox module is all about setting up. Not much programming yet.

by Charlie R

Jul 03, 2018

Decent overview, gave me some things to google. No real substance as of yet.

by Amr A

Jun 16, 2017

I think this course needs to be much better in terms of adding more material

by Doug W

Dec 29, 2016

Good overview. Helpful introduction to topics covered in the specialization.

by Nikolai K

Nov 06, 2017

A good Introductory lesson, but for advanced students it is not nessesarry!

by Divyansh M T

Jul 28, 2017

Very insubstantial, in terms of material. Much more can be done in 4 weeks.

by Mamar H

Jun 25, 2016

A little bite long regarding the concepts number developped in this course.

by Ian W

Aug 30, 2017

Easy course. Everything covered in this course can be found easily online.

by Mohamed A E M

Jun 20, 2017

Nice introduction but not many new ideas i had recive, but thank you team.

by Hamza T

Aug 09, 2016

A great course. But I still think there is a lot of room for improvement.

by Vishesh k

Jun 16, 2018

Sound quality for every lecture is very disappointing ,very poor quality

by Abhey K

May 27, 2017

A good introduction to data science and the associated issues around it.

by Perruchoud A

Aug 13, 2016

Extremely useful info, but the material is too shallow to be satisfying.

by Daniel R

Feb 07, 2016

It is a good course, however, I would have liked deeper knowledge in git

by caio l

Sep 12, 2017

Really basic, it's only necessary if you have no knowledge in the area.

by Mitchell S G

Nov 12, 2016

Audio on videos was sometimes unclear. Course content was interesting.

by Nate D S

Jun 26, 2017

Mostly auditory discussion of concepts. Not so much visual or hands-on

by Aditya C

Jan 05, 2019

Very basic...One must do the entire specialization to make any sense.