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Avis et commentaires pour d'étudiants pour Les outils du scientifique des données par Université Johns-Hopkins

33,508 évaluations

À propos du cours

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, 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....
Points forts
Foundational tools

(243 avis)

Introductory course

(1056 avis)

Meilleurs avis


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.


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.

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6401 - 6425 sur 7,037 Avis pour Les outils du scientifique des données

par Sebastien M

4 sept. 2016

Well presented, but this course should be optional in in the specialization. There isn't really enough material to justify it, but it does cover the basics for someone with little to no development experience.

par Ghodratollah A

13 mars 2016

With many thanks to the instructors, I expected to learn more. I did not learn as much as a 4-week course in Coursera. Please include more materials and avoid advertising for other topics in the future courses!


21 janv. 2018

The Course is very well designed and anyone who pursues it gets very well acquainted with the applications and tools . But i would like to suggest that this course can be completed in 7 days instead of a month

par Truong T

19 juil. 2017

The length of the course, in my opinion, is a little bit too long. Actually it took me only 3 days to complete this course and I am not really a brilliant one. So I think maybe may will have the same opinion.

par Dave N

16 mars 2017

Not a bad intro; I don't know if anyone would benefit taking this as a standalone (or for an entire 4 weeks, for that matter). Still, it introduced some solid concepts for professionals and scholars, alike.


12 mai 2020

Though the content of the course is nice, i wasn't completely comprehend everything. I was expecting to see a lot of explaining using the live screen mode, i.e., explanation while operating on the desktop.

par mathias b

15 août 2016

This is a really basic course. If you have never touch code before, it's more useful, but little is actually covered here and the gap between it's contents and the next class, R programming is dramatic.

par Chris H

15 déc. 2016

Super basic, each week was only about 30 minutes of video lecture... but I think that was their goal? Bad form on coursera for making you pay to submit assignments that are autograded to begin with.

par Geoff S

27 juil. 2016

This is a required course in the Data Science specialization. If you're planning to take that specialization, you should start with this course. If not, you shouldn't bother - there's not much here.

par Michal Š

12 août 2016

As a software engineer I found this course a bit useless, but I do understand other people don't have the same background. Having said that, I believe it should be optional in the specialization.

par Yueming P

18 nov. 2017

It's a great course. But the peer-graded setting of projects really delays the grant of certificate. It took me more than two sessions of waiting just to get a grade for the peer-review project.

par Michele B

13 sept. 2018

Very basic, can be done in one day! However, we always need something simple to begin learning something new. Also, it was useful to have some guidance in the installation of the various tools.

par Alan Z

29 mai 2016

The course is basic, and quite simple. Some might say too simple. I think it should be about 1 week long. I already knew all the things going into it so it was easy to finish it over two days.

par Antonio M

23 mars 2021

unforutnately automatic video are quite hard for non native speaker. You always need to revert to reading material

the intro to R should be extended with more practical exercises and examples

par Joseph S

1 févr. 2020

The theoretical part of the course is good, but the quizz questions were simplistic and very hastily prepared. I would recommend this course as an optional module and not as a graded course.

par Mohammad O

28 nov. 2021

I like to continue, but i stopped learning because the robot instruction which is annoying presentation.

I'm looking other courses which has better presentation tools, like real instructors.

par Constantin S

10 févr. 2016

It's a very basic introduction. Would be nice to have the option to skip it for more advanced students.

Also the recorded lectures are really quite, so you have to turn up the speaker a lot.

par Pratheek G

16 nov. 2017

Good Introduction to the basic tool set, Can be bit more comprehensive by giving an overview of other tools available to do the same operations and also why this tool set has been chosen.

par Fraida L

25 nov. 2016

There wasn't much to learn that I didn't already know. There was a lot of talk but no real practical application (I guess except for github for people that didn't know how to use that).

par Oleksandra M

26 nov. 2017

This course coud have been provided as intro to R programming course or it could be just planned for 1 week. Anyway, overall it was ok though not yet extremely intense or informative.

par Lauren O

13 avr. 2017

It was a good overview. I understand that it’s really just a quick intro into upcoming specialization courses. I wouldn’t take it alone. But I’m excited for the rest of the courses!

par Emmanuel A

10 juil. 2020

I got a brief understanding of R. Better something than nothing. The problem is, they need to update their lectures. This would be less confusing and more convenient for students.

par Christopher H

13 août 2021

I know it might be the future for training videos but had a hard time staying concentrated listening to a mono tone computer generated voice. The course content itself was good.

par swati

7 févr. 2018

Make it more illustrative.. The examples are very less and not explained properly for beginner. Assignments should be more practical. There must be a tutor to clarify the query.

par Abhijit H D

25 sept. 2017

A good attempt to give introduction on basic Data Science tools though most videos end abruptly which spoils the seamless navigation experience. Maybe the team can work on this.