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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....
Introductory course
Foundational tools



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.


Jul 22, 2017

Great Primer for what Data Science is about. It also provides the infrastructure of tools needed. This was what I was after, a way to provide other data scientist hardware and infrastructure support.


The Data Scientist’s Toolbox: 4176 - 4200 / 4,282 レビュー

by Rami A

Mar 29, 2016

Really poor quality of the material.

by Grégoire M

Aug 31, 2017

A little bit too slow and too easy

by Tribs S

Sep 08, 2016

I thought this was very very basic

by Noah P

Mar 09, 2016

Not much substance to this course

by ping c

Apr 09, 2019

The video wasn't very effective.

by Nestor S

Mar 30, 2016

I didn't get much out of it

by amaru f

Apr 25, 2018

i think was ok to start up

by Francisco G H

Feb 09, 2016

The course is very simple

by Ligeng X

Sep 25, 2018

Waaaaaaaaaaaaay too easy

by Brian B

Apr 11, 2016

Extremely Git centric

by Dimitris K

Nov 24, 2016

Too easy, very basic

by Katherine F

Mar 17, 2016

Too short and easy.

by Nicolas S

May 18, 2017

Not really useful.

by Lewis H

May 02, 2016

Sound is too quiet

by Nicholas B

Mar 17, 2016

Barely any depth

by Josh H

Mar 03, 2018

Not very useful

by Markus K

Mar 10, 2016

Way too basic.

by Thong K C

Oct 13, 2016

Too simple.

by Abhishek K

Mar 28, 2018

Very basic

by Vlad D

Feb 27, 2017

Too basic!

by Doug E

Jul 28, 2016

Very basic

by Fan Q

Feb 28, 2016


by Ashish S

Jan 24, 2017



May 08, 2016



Nov 13, 2017

I missed the entire course deadline just because I stuck in one of week 4 projects - pushing a file into GitHub. When I went to the forum, there are so many people in the same situation. The main reason is that the week 4 video did not cover the project content well. Overall, compared to other programming courses I took on Coursera, this course is not well organized at all! Instructors basically just read words in slides, no interesting examples and no hands-on practices, especially week 4 slides that look like a syntax reference document. So the entire instruction is very boring, making me wonder why I need to sit here and listen to word reading rather than buying a textbook. Also, people coming here to learn it are new learners. When the instruction skipped much and made the content not logical and complete, it is very difficult for us to understand what the video is talking about. That's why in forum there are so many people expressing their confusions. This entire specialization is the one that I've taken and feel the worst (I got lost in the R course too). I strongly recommend the instructors of this course watch and learn how the instructor of the specialization "Python for Everyone" organizes and teaches the content. He makes programming become very interesting and easy to understand. He also provides many hand-on practices to help learners understand abstract concepts. Unfortunately this specialization instruction is just about reading words in the boring slides.....