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
LR
Sep 7, 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.
AI
Apr 23, 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.
4301 - 4325 of 7,160 Reviews for The Data Scientist’s Toolbox
By Ryan G P D
•Oct 11, 2017
Very helpful
By Bob P
•Oct 10, 2017
Great course
By vishamber l
•Sep 27, 2017
Great Course
By Angela E
•Aug 29, 2017
Great intro!
By Daniel H
•Aug 19, 2017
really good!
By Hasratjit S D
•Aug 16, 2017
it was great
By Dimple P
•Jul 11, 2017
Great intro.
By 钱禹杭
•Apr 8, 2017
great course
By Guillermo R P
•Mar 8, 2017
Excellent!!!
By David W
•Mar 3, 2017
Very helpful
By Shipra G
•Feb 27, 2017
Nice course!
By Akshay K
•Jan 23, 2017
Nice course!
By Faber H Z X
•Jan 12, 2017
Great course
By Rushikesh G
•Jan 2, 2017
Good course.
By Fernando A F B
•Nov 17, 2016
Really good!
By Gilvã P R
•Nov 4, 2016
Excellent!!!
By Shuo Y
•Sep 20, 2016
great course
By Bindiya S
•May 19, 2016
great course
By Fernando
•May 3, 2016
Great course
By Rick T
•Feb 5, 2016
great intro!
By Ahmed T
•Feb 2, 2016
Excellent :)
By Akash R
•Apr 14, 2024
nice course
By Sabeur M
•Jan 27, 2024
Great cours
By nobert m
•Jul 18, 2022
Good Course
By Rahul A
•Jan 18, 2022
good course