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

4.6
étoiles
26,297 évaluations
5,467 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

LR

Sep 08, 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.

SF

Apr 15, 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.

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4051 - 4075 sur 5,342 Avis pour Les outils du scientifique des données

par Debanshu K

May 27, 2017

This was superb in order to create a basic understanding regarding data science.

par William I

Sep 26, 2016

A solid course to kick off the specialization, but not worth taking on it's own.

par Boris B

Feb 13, 2016

I would expect some more methodological material,\though everything else is fine

par Abdou k a

Apr 26, 2020

The Course is very Good but requires more details during the practical examples

par Albert P

Jul 23, 2019

It's fairly basic. Completed the whole course in 1 sitting in about 4-5 hours.

par Chenjun L

Apr 20, 2018

It is a good start with good background info of resources in data science field

par Rojbin L

Nov 23, 2017

More practical exercises please! Thank you for offering such a valuable course.

par ying2017

Jul 28, 2017

good course somehow a little hard for those who are not native english speakers

par Adya M

Apr 17, 2017

Elaborate introduction to the data science arsenal of tools. Thank you so much.

par Oskar L

Apr 10, 2017

Good introduction to the Data Science and the courses provided here in Coursera

par Jinghui Z

Dec 09, 2019

Course can go quicker, the content is useful but it is too little for one week

par Jahnavi T V

Aug 21, 2019

I really feel the entire course is explained so thoroughly for the beginners .

par Manuel R R

Jan 26, 2018

Decent introductory course to Data Science and setting up the necessary tools.

par Kevin C A

Jul 26, 2017

Buen curso introductorio. Le falta quizás profundizar sobre algunas funciones.

par xun y

May 29, 2017

great course, hope professors talks more about github command line operations.

par Josh W

Jan 31, 2017

Very basic. I am hoping it helps guide my time commitment for further classes.

par Dennis J S

Nov 08, 2018

Some of the closed captioning on the videos does not match up with the audio.

par Chris H

Jul 10, 2018

Easy to follow. Practical and useful tools. Lots of good reference materials.

par Ryan H

Aug 21, 2017

Great intro. Pretty basic if you are a programmer but overall worth the time.

par Rafael C

Feb 26, 2017

It would be better if more details included in the lecture on Git and Github.

par Brett C

Jan 26, 2016

Walks you step by step getting you setup and familiar with the core software.

par Subhash B D

Feb 12, 2020

Really good for Beginners who are interested in learning ML related tools...

par Yuting Y

Jul 16, 2018

give me a basic idea. course quite easy, but need to learn more to be useful

par Amelia L

Sep 14, 2016

Helpful introduction to people who have little experience with GitBash and R

par Joel M

Jun 15, 2020

This is a really good course to begin with. I highly recommend this course.