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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.


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: 176 - 200 / 4,060 レビュー

by Woradate p

Feb 28, 2019

Very good detail for starter


Mar 02, 2019

It's simply awesome. Looking forward to other courses in the specialization. Thanks.

by Tyler B

Mar 02, 2019

Very basic, but understandably so.

by Sreeram Y V

Mar 03, 2019

Excellent Course!


Mar 02, 2019

Brilliant lecture! After this I have got a general idea about what I need to learn to become a data analyst. And the lecture's quality is pretty high.

by Frank Z

Mar 03, 2019

Jelly good

by Mandar G

Mar 04, 2019

very good course

by Ващенков В В

Feb 21, 2019

Info is compressed but it is still available for understanding and useful. But I think new students can have some difficulties with git or github, because theres some not so obvious commands like swap branch, commit changes etc...But it is also good for students to learn use Google and look forward for tutorials :)

by Ryan M

Mar 04, 2019

Excellent introduction course.


Mar 06, 2019


by Sunhao C

Mar 08, 2019

basic stuff

by Mahmoud S A D

Mar 09, 2019

Excellent Course with simple and informative materials

the educational process very helpful and the approach to build the knowledge and skill is remarkable

by N S C R

Mar 09, 2019

This course helps to understand the usage of R with RStudio and Git integration with RStudio.

I Recommend this course to all those aspirants who are moving towards Data Science.

by Ross D

Mar 13, 2019

I was already familiar with R and RStudio and found the portion on using Git/GitHub particularly helpful.

by Igors K

Mar 12, 2019

good tool tips but with some hard to make SSH and pull not working downloaded github desktop and take projects from RStudio and pull, using github desktop maybe add some tips for this program because to some person it will help like me, every have diferent PC and language.(Searched google every writing about some space not about solving problem)

by Carlos A M O

Mar 13, 2019

Very good course


Mar 13, 2019

still required in depth concept about github.

by Ashwin S M R

Mar 12, 2019

Real good start to the Data Science Specialization

by Moshfiqur R

Mar 13, 2019

excellent.... course to enter data arena....

by Anthony H

Mar 13, 2019

The course offers a practical and simple explanation about introduction into Data Science

by Anatoli K

Mar 14, 2019

Интересно было посмотреть как работает один из лучших исследовательских университетов мира.

Кроме настройки программного обеспечения много узнал об основных принципах науки о данных.

Очень понравился пример с Хилари Клинтон. Возможно это был роковой момент в её поражении.

by Izhar A

Mar 14, 2019

good content.

To the point

by Albert Y

Mar 17, 2019

This was fast-scinating and helpful! Sending all the love for Coursera Team.

by Ловягина Ю А

Mar 18, 2019


by Abdullah B B

Mar 17, 2019

This course is about the what you need to be capable of to become a Data Scientist and it may seem that it is too basic, but you can't just build a house without having the right ground.