Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
About the Course
(243 Reviews)
(1056 Reviews)
Top reviews
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.
NB
Jun 2, 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.
6626 - 6650 of 7,158 Reviews for The Data Scientist’s Toolbox
By JOHN O G
•Oct 28, 2016
Buen tema y contenido pero muy resumido o simplificado, se debería ampliar mas la 4 semana como mínimo.
By Santiago N V G
•Sep 18, 2022
I think the content is not enought for an entire course, perhaps it can be a part of another course.
By Kris
•Dec 20, 2020
Not a fan of the quizzes since they do not provide rationales or solutions if you got an answer wrong.
By Abdallh A
•Dec 11, 2019
Good course for supporting the rest of the specialization. However, it has very little use on its own.
By M S G
•Feb 3, 2019
Would have loved it even more if there was an in-depth explanation of how to use GitHub using Git bash
By Karan A
•Jul 6, 2018
Course is good overall, but it could be more detailed and informative which is lacking at some topics.
By Adriana M M V
•Mar 29, 2020
Needs examples and practical exercises. The videos are long and monotonus mainly because the speaker.
By Sourav P
•Jul 29, 2018
One Could have introduced the basics of R in this course..The course was too easy..Even for beginners
By Hernan G
•Sep 27, 2017
Es básico, pero cumple para empezar en el mundo de Coursera, espero mucho más del resto del programa.
By SOUBHAGYA K
•Aug 1, 2020
It's very very basic one.Some more topics should be added to this course.Otherwise it will be boring
By Isis G
•May 26, 2022
Good course, for a general overview and tool instalation. There was some problem with some quizzes.
By Chia D
•Dec 11, 2019
The video content is great, but it tends to have zero relation to the content tested in the quizes.
By Deepankar G
•Jun 2, 2016
Course doesn't seem to be of much use. Was not much informative. Only some information is relevant.
By Eric H
•Jul 5, 2022
Material and assignments were acceptable. Robotic voice over was unbearable and steps were rushed.
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.