Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
About the Course
(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.
SF
Apr 14, 2020
As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.
6551 - 6575 of 7,051 Reviews for The Data Scientist’s Toolbox
By Peter F
•Apr 4, 2016
It was pretty good, but most of the information is rehashed briefly in the intro to R Programming
By Pavan E
•Feb 14, 2016
Course was good, nice introduction to data science and its branches. There was not much of depth.
By Andrew R
•May 12, 2020
I don't feel like I learned a ton from this, but hopefully, it prepares me for the next courses.
By Hrishikesh T
•May 9, 2020
I didn't like the fact that the instructor didn't feel human-like, however, it felt more robotic
By Arun J
•Jan 3, 2019
Content is not found sufficient. Also order of the video series also requires some modifications
By Bill H
•Mar 28, 2016
A necessary prerequisite for the other Data Science classes, but not really a standalone course.
By Nath S
•Dec 7, 2021
I liked it because it helped me to configured the software that I will use in the next courses.
By TESSIER B
•Feb 13, 2016
Good overview of existing tools but more information will be useful to dig into the data world.
By Chatphong P
•Aug 11, 2020
Peer-review by some user that have no understanding or related knowledge not seems to be good.
By leo0807
•Jul 3, 2019
I think maybe because I have computer science background, so I think this course is too easy.
By Nikita S
•Feb 2, 2018
I don't really think that this amount of information should exist as a whole separate course.
By Lucio C
•Aug 8, 2016
Good overview. But it is confusing for the first class when you have no idea about the topic.
By Bhupen P
•Jul 22, 2021
Need more practice in R programing, Github, commit, branching, adding text, making directory
By Maciej M
•Feb 18, 2018
some information was interesting but in general I don't think it was crucial for learning R.
By Benny B E
•Aug 1, 2017
If you don't know any thing about data science, good introduction, otherwise a wast of time.
By Yves-André G
•May 27, 2017
A very simple course, focussed on installing the correct tools on your computer to learn R.
By Migdonio G
•Feb 11, 2017
Too little material for 4 weeks. All this could've been written in a PDF instead of videos.
By Mark P
•Oct 11, 2020
the computer voice is very hard to handle.
low production value of the course in that part.
By Kapeesh
•Jul 26, 2020
Video lectures where TTS, not at all engaging. Thankfully, text material was well written.
By Shahrooz
•Jul 22, 2016
Overall the course content is good, but the power points are not engaging and interactive.
By Mantra B
•Jun 27, 2020
Very Basic level. A little difficult to stay focused without having an instructor around.
By Sadanand U
•Aug 19, 2018
Very basic, may be a bit more use cases on Git would have been useful. But that's just me
By Uian S
•Nov 23, 2017
Few content for an entire course. I think this one could be together with R Programming.
By Ali A F A N
•Apr 12, 2020
Wasn't as good as I expected, but still I learnt from it, I can say it's above average.
By Andreas L
•Dec 3, 2017
I am aware that this is the introduction to this topic but it was a bit long-drawn-out.
Coursera Footer
