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.


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: 151 - 175 / 4,103 レビュー


Apr 09, 2019

Gr8 course for anyone who wants to start data science


Apr 08, 2019

Very Good Course

by Magdiel B d N A

Apr 12, 2019

Thats great

by Carlos A M O

Mar 13, 2019

Very good course

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 Ashwin S M R

Mar 12, 2019

Real good start to the Data Science Specialization

by Ryan M

Mar 04, 2019

Excellent introduction course.

by Frank Z

Mar 03, 2019

Jelly good

by Mandar G

Mar 04, 2019

very good course

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 Ross D

Mar 13, 2019

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

by Izhar A

Mar 14, 2019

good content.

To the point

by Anthony H

Mar 13, 2019

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


Mar 06, 2019


by Prateek S

Mar 07, 2019

This is really an awesome course for a basic introduction to data science.

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 Sunhao C

Mar 08, 2019

basic stuff

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.

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 John N

Mar 18, 2019

Overall great starting course!! I feel that it would be better to have someone to lecture to you instead of a voice machine.

by Prabhakar B

Jan 05, 2019


by Alberto F P

Jan 05, 2019

Great material !

by Wenyu Z

Dec 06, 2018

great lesson

by Deleted A

Dec 06, 2018

Amazing intro to the basics of data science and tools used.