Avis et commentaires pour d'étudiants pour Les outils du scientifique des données par Université Johns-Hopkins
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(243 avis)
(1056 avis)
Meilleurs avis
SF
14 avr. 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.
LR
7 sept. 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.
6476 - 6500 sur 6,978 Avis pour Les outils du scientifique des données
par Kris
•20 déc. 2020
Not a fan of the quizzes since they do not provide rationales or solutions if you got an answer wrong.
par Abdallh A
•11 déc. 2019
Good course for supporting the rest of the specialization. However, it has very little use on its own.
par M S G
•3 févr. 2019
Would have loved it even more if there was an in-depth explanation of how to use GitHub using Git bash
par Karan A
•6 juil. 2018
Course is good overall, but it could be more detailed and informative which is lacking at some topics.
par Adriana M M V
•29 mars 2020
Needs examples and practical exercises. The videos are long and monotonus mainly because the speaker.
par Sourav P
•29 juil. 2018
One Could have introduced the basics of R in this course..The course was too easy..Even for beginners
par Hernan G
•27 sept. 2017
Es básico, pero cumple para empezar en el mundo de Coursera, espero mucho más del resto del programa.
par SOUBHAGYA K
•1 août 2020
It's very very basic one.Some more topics should be added to this course.Otherwise it will be boring
par Isis G
•26 mai 2022
Good course, for a general overview and tool instalation. There was some problem with some quizzes.
par Chia D
•11 déc. 2019
The video content is great, but it tends to have zero relation to the content tested in the quizes.
par Deepankar G
•2 juin 2016
Course doesn't seem to be of much use. Was not much informative. Only some information is relevant.
par Eric H
•5 juil. 2022
Material and assignments were acceptable. Robotic voice over was unbearable and steps were rushed.
par Peter F
•4 avr. 2016
It was pretty good, but most of the information is rehashed briefly in the intro to R Programming
par Pavan E
•14 févr. 2016
Course was good, nice introduction to data science and its branches. There was not much of depth.
par Andrew R
•12 mai 2020
I don't feel like I learned a ton from this, but hopefully, it prepares me for the next courses.
par Hrishikesh T
•9 mai 2020
I didn't like the fact that the instructor didn't feel human-like, however, it felt more robotic
par Arun J
•3 janv. 2019
Content is not found sufficient. Also order of the video series also requires some modifications
par Bill H
•28 mars 2016
A necessary prerequisite for the other Data Science classes, but not really a standalone course.
par Nath S
•7 déc. 2021
I liked it because it helped me to configured the software that I will use in the next courses.
par TESSIER B
•13 févr. 2016
Good overview of existing tools but more information will be useful to dig into the data world.
par leo0807
•3 juil. 2019
I think maybe because I have computer science background, so I think this course is too easy.
par Nikita S
•2 févr. 2018
I don't really think that this amount of information should exist as a whole separate course.
par Lucio C
•8 août 2016
Good overview. But it is confusing for the first class when you have no idea about the topic.
par Bhupen P
•22 juil. 2021
Need more practice in R programing, Github, commit, branching, adding text, making directory
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