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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: 351 - 375 / 4,393 レビュー

by Michael O I

Aug 13, 2016

Love the exposure to Command Line Interface (CLI), Git, Gitbash and R. Will recommend it to anyone that wants a career in any computer/mathematics field.

by Lee E

Oct 31, 2017

Great and helpful course to get started with R programming. Highly recommended for someone wanting to get in to R and understand how the language works,

by Guru P

Aug 08, 2016

I found this course to be very useful in shaping my analytics career. Many thanks to coursera for provinding me the financial aid to pursue this course.

by Connor B

Jan 08, 2016

Very nice to receive such an in-depth overview of the entire course before starting. Also: great instructions on how to get help, I'm sure I'll need it!

by John A

Jan 31, 2018

Includes very basic stuff like setting up a github account, installing software etc: so I guess that's great if thats' not something you've done a lot.

by Chandra N

Mar 19, 2017

Excellent instruction, step by step coverage of topic in easy to understand terms. Support study material is very good and useful for quick reference.

by Dhumil A

Aug 12, 2016

Wonderful tools were taught. Good course. The presentation of the tools was appropriate to get started quickly with these tools. Thank you Instructors.

by manuel s g

Mar 08, 2020

Nice kick off for this program where you get all the tools needed to work along the program. Install and configure the tools is really well explained.


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 Eduardo M L

Dec 12, 2018

An excellent introduction to Data Science. A must to all newbies - the course is engaging and full of real examples. The readings are a must, as well!

by Gisela L L C

Apr 15, 2017

Really good, with basis for the next steps in statistics. For me the most interesting thing is the Github software and it functions and possibilities.

by Thess A H

Feb 28, 2016

A good intro course - however, it's up to one's own initiative to work independently in order to test out what you've learned from the video lectures.


Jun 08, 2019

I have read the books, they are free and very informative.

Just 40mins in Coursera are equal to more than 5 hours (2 classes) in "brick-mortar" class.

by Vladislav M

Apr 08, 2019

A great introductory course that requires no prior knowledge is fully in video format and lets you get an overview of what data science is all about.


Jan 20, 2019

The course is very usefull, making clear the principles of data science, and your basic tools. Instructors are also very clear in their explanations.

by Mark C

Oct 21, 2017

I give 5 stars to the course because it offers different perspective to my current job and I'm looking forward to learn more to the upcoming modules.

by Keren S C

Mar 08, 2017

I have never learned programming and totally new to this field. However, this course really served its purpose of teaching me the data science tools.

by Trisha Z

Nov 10, 2016

Great course as it shows you the basics of what the Data Scientist needs. It is easily understood and you can review lessons after you have taken it.

by Dylan C

Feb 07, 2016

Very basic, but gets you up and running with R, Git, and Github. I was self-taught, so this course was good to consolidate and refresh on the basics.

by David B

Mar 20, 2020

The Data Scientist's Toolbox was a great course. There was effective exposure to each of the elements that will be of importance to Data Scientists.

by Md. A

Jan 01, 2020

Actually I have learnt many important think especially GitHub and R Studio linkage. Great Course. Thanks Coursera and JOHN HOPKINS University......

by Dheeraj K

Mar 21, 2019

It is a nice course, week 1 is quite tough.

So i would recommend going through week 2 if you are stuck there.

Hope to see everyone make it to the end.

by Anand H

Aug 27, 2018

This course is a very crisp and concise overview of what data science is and what are the tools one would need to be successful as a Data Scientist.

by Santosh K S

Mar 13, 2018

I am very new to programming world. It was really nice experience to begin with the tool set up and understand the basic concepts or R programming.

by Narayana V

Oct 11, 2017

This is an excellent work done by the Coursera people for letting the interested ones and dezire ones to be in technical line throughout the course.