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

4.6
étoiles
32,643 évaluations
6,965 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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6651 - 6675 sur 6,853 Avis pour Les outils du scientifique des données

par Javier R L G

6 août 2018

Too slow!! Why waiting for others to finalize and rate, enter enough dummy exercises so that the student can complete the course much sooner. Thanks.

par Francisco B P

10 avr. 2018

Very superficial knowledge. More pratical exercises are needed and daily problem examples. The use of github and his pratical purpose is not clear.

par Karan B

9 oct. 2017

Very average do not feel I learnt much. Still not sure if it's over or not since i've submitted a peer review assignment and cannot go any further.

par Karsten T

15 févr. 2016

This could probably be compressed into a single week of setup for the R Programming course. There isn't much in terms of substantive learning here.

par DIWAAN C C S

10 nov. 2020

Content is good but the thing to tell is that robots can't express actions, only humans can. So please change these videos as human lectures.

par OMEED R

30 déc. 2016

I mean, it's replicated in the next classes, and it has silly questions in the practice quizzes. It's not worth it. Just kill this.

par Augusto U

18 févr. 2016

Very basic introduction to Data Science. Seasoned programmer or other IT professionals are likely to find this course really weak.

par Luis C

24 mars 2019

it is a good course but need to show more examples of R. the course should show more empirice examples of the functions of R.

par Harshini S

22 nov. 2016

A good intro to the tools required for a Data Scientist. However, could cover the usage of the terminal and Rstudio better.

par Yuan L

12 nov. 2017

Not that useful. There is no need for videos. The content can simply be presented in one single PDF in a time-saving way.

par Dimitry W

5 déc. 2017

Somewhat interesting to get an idea of what can be done with Git / Github, but I don't feel prepared to actually use it.

par Anna K

13 juil. 2017

Materials are getting out of date, especially with some of Github's new features. Instruction not clear in some lessons.

par Illan W

5 juin 2019

Lectures are ridiculously boring, especially without having any video cam component to bring stimulation to the class.

par Ashwin P

1 juil. 2017

I do not think it is worth the money as the content is really basic and installation of software can be learnt online.

par Lang Y

24 oct. 2017

Too little content. Can finish the entire course in a few hours. Could be compressed into the first week of a course

par Adam D

12 juin 2017

If you can install R & RStudio and sign up for Github, then you're 80% finished with this course before you start.

par Alex L

1 mars 2021

Link does not blue-highlight in the last question and confuses the graders to think that the link does not work.

par Andrew T

3 janv. 2018

Basic setup of R and Git.

Prefer Treehouse's integrated workshop structure for tasks like these and/or youtube.

par Matthew W

1 avr. 2016

Extremely remedial. Not worth the time or cost on it's own, unfortunately it's required for the specialization.

par Owen I

15 nov. 2016

Is this entire course going to be watching videos of powerpoint slideshows, wrapped in a rather buggy website?

par SAI V K

2 juin 2016

they made this many courses as they can earn more money.I dont think this course should me taught seperately

par Andrew W

20 avr. 2017

Very, very, very basic intro. The entire 4 weeks could have (and should have) been condensed into 1 week.

par Paolo D

7 nov. 2016

I didnt learn anything about data science. I could have learned how to install all those tools by myself

par Andrew I

17 sept. 2016

There just wasn't much to this class. It's not bad information, but it could have been done in one week.