Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
About the Course
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.
(243 Reviews)
(1056 Reviews)
Top reviews
NB
Jun 3, 2017
Nice Course. Basics are very well taught in this course.Thank you JHU and Coursera for this course. I have decided to donate 10% of my first salary to coursera once I am complete this and get intern.
AI
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.
7151 - 7163 of 7,163 Reviews for The Data Scientist’s Toolbox
By Matt R
•Nov 18, 2020
Terrible delivery.
By Supratim S
•May 22, 2020
Ass robotic stuff
By Divine T
•Dec 11, 2022
terrible course
By Ali
•Jan 28, 2025
not beneficial
By Eduardo C
•Mar 17, 2021
i can't quit!
By Thomas V
•Dec 15, 2018
For beginners
By Deleted A
•Sep 6, 2016
very basic.
By Suman B
•Apr 6, 2020
Robotic.
By pengwei
•Apr 20, 2017
annoying
By pavani
•Oct 17, 2016
very bad
By Warren
•Feb 9, 2016
Not Free
By Mohammed S
•Jul 17, 2020
poor
By Andrew P
•Feb 9, 2016
I'm