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

4.6
étoiles
30,564 évaluations
6,516 avis

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

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.

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6226 - 6250 sur 6,374 Avis pour Les outils du scientifique des données

par Patrick B

30 juin 2016

Not sure this should be a course that is charged ....

on to the next one now.

par Anna D

4 mars 2018

It's great to learn how to use GitHub but this hardly qualifies as a course.

par Dennis W

20 févr. 2016

Very introductory. This material could have been compressed into 1 week.

par Arun R

7 janv. 2019

Very basic - Did not teach all the necessary things required with Git.

par Hugo R

28 sept. 2017

Isn't very usefull, I'm impatient to start the R programming courses.

par HARSH K S

27 mai 2020

This course is not much interactive because it includes boots voice.

par Neil J

16 juin 2016

Extraordinarily basic. Entire thing can be done in about two hours.

par Ng J

18 mars 2016

Might be useful for total newbies, but this was very simple for me.

par Rose G

11 juil. 2019

Not that interesting, but gives you the basis to install R and git

par Amir N

21 juin 2017

A little bit vague, could use more practice using git and git hub.

par Kristin N

7 juin 2016

Jumps around, doesn't put anything into "real world" examples.

par James C

7 janv. 2018

Very high-level discussion of data science and useful tools.

par Matthew C

30 juin 2017

Too easy and doesn't really prepare you for the next course.

par Martin M

23 sept. 2020

Content is ok, but I really do not like the computer voice.

par Gustavo M

30 déc. 2016

Only informative. Not worth it outside the specialization.

par Freddie K

12 août 2016

Very shallow overview, not really a full course I'd say.

par Marek D

7 mars 2016

Nice introduction but actually very little content

par Shyam D

27 juin 2019

exercises given don't follow the course line

par guruprasad d

11 avr. 2020

Not able to get a start with Robotic Voice.

par Rebecca P

27 juin 2016

This course is not very "beginner friendly"

par Selina H

12 avr. 2016

It's more a preview than an actual class.

par Hassan A

4 oct. 2018

I think it was too long for such content

par Binu E

5 avr. 2016

This should not be a course of its own.

par Max C

2 juin 2016

Too basic, this should just be a read

par Adarsh R

29 avr. 2020

should not have been a 4 week course