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

33,151 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....
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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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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.


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.


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