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....
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: 126 - 150 / 4,103 レビュー

by dilek c

Feb 06, 2019

Totally advisable for a beginner

by Luis A F C

Feb 20, 2019

This course is essential to initiate SD

by Oliver G

Feb 11, 2019

Ideal for anyone who has never had any experience in the subject of data science. The course lays a nice foundation of what you need to know for the next courses in the specialisation. I would say it is 60% conceptual, 40% technical, which for me is just the right mix to get started on the subject.

by Jit D

Feb 10, 2019

great course

by Hart T

Feb 10, 2019

Great introductory course!

by Sakib S

Feb 12, 2019

Well organized and straight to the point with the various introduction to the field.

by Biplab H

Feb 14, 2019

Very Basic and easy to learn

by Eric P

Feb 14, 2019

The quickest yet most in-depth way to learn the RStudio tool kit and also learn the basic definitions that exist in data science.

by Jorge D B H

Feb 14, 2019

Buena introducción

by Michael J

Feb 17, 2019

Interesting and relevant to my current job. Learnt something new which I can apply in addition to course requirements.

by Kenichi A

Feb 17, 2019

I liked the fact that only nominal numbers of tools are explained with clear reasons. So, I can trust the recommendations and spend my time on learning these tools.

by Conrado H V G

Feb 17, 2019

Excelent course

by Medha S

Feb 07, 2019

Great introduction to Data science. Can be a little more informative in terms of Data science for someone who is only taking one course and not the whole specialization.

by Elisa V

Feb 19, 2019

Very good course. I really enjoyed it and the provided course material was very helpful.

by Joe D

Feb 20, 2019

An excellent introduction to r, rstudio, and the basic concepts and functions of github (online version control for personal or collaborative programming projects). Great course, informative videos, lots to do and experiment with, I highly recommend it!

by Sheila K

Feb 22, 2019

This course is engaging and difficult to put down. I was obsessed with completing this each week and actually finished a bit earlier. I consider myself nontechnical but the format was well done.

by Felipe

Feb 26, 2019

Excelente curso

by Anand p

Feb 25, 2019

very nice lessons and very enjoyable.i enjoyed the lessons.

by parth m

Feb 25, 2019



Feb 25, 2019


by Ajayeswar R

Feb 24, 2019

Very good for the people who would like to know the working of R and Git from the scratch. The articulation between them is beautifully presented .

by Shivesh R S

Feb 21, 2019


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.