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

4.5
20,940 notes
4,184 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.

AI

Apr 24, 2018

This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.

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176 - 200 sur 4,054 Examens pour Les outils du scientifique des données

par Darky C

Nov 28, 2018

Pretty good in explaining the basics of data science

par Carol T

Dec 12, 2018

Great first module! Engaging and interesting.

par Ciro J H M

Dec 12, 2018

I liked it very much

par Thiruvarut S

Dec 27, 2018

Met my expectations of a data science course

par 王晓

Dec 27, 2018

Very good learning experience. Though the materials are bit of old but still helpful.

par Oscar A G S

Mar 29, 2019

Great introduction fot those who want to dive in the world of data science.

par Alice

Mar 30, 2019

A great start to the world of data science. Love the idea of duplicating videos with text courses. I'm saving all texts to a folder for future use - this is a gold mine! Great job on the course, people!

par VICTOR K A

Mar 31, 2019

Great Introduction. More Exercise to help us build strong foundation in the course

par Bibhu A P

Apr 02, 2019

This course is a primer on setting up the various environment required for learning Data science with R language. You can expect to learn the basics of Git and Github. R and R studio.

par Paul B

Apr 01, 2019

Great and challenging course!

par Dean G

Apr 03, 2019

Good first start for Intro version of data science

par Abdul W

Apr 05, 2019

The course provided me with a better view about data science and I cam to know what are the tools and concepts which a data scientist deals with.

par Vaibhav S B

Apr 05, 2019

Good structured , well organized, flexible course sessions, material. Thank you.!!

par Aaryan R

Apr 05, 2019

very descriptive with good material and examples.

par Aline S

Apr 05, 2019

Simplesmente incrível, uma base muito boa para iniciar esta formação.

par Rony M

Apr 05, 2019

Excelente método e excelente material. Muito instrutivo e prático.

par Vladislav M

Apr 08, 2019

A great introductory course that requires no prior knowledge is fully in video format and lets you get an overview of what data science is all about.

par SOURAV S

Apr 08, 2019

Very Good Course

par Yuan S

Mar 28, 2019

It's a really basic & entry level course, but still very informative & useful!

par Котловский М Г

Mar 28, 2019

good course

par SOURADEEP T

Apr 09, 2019

Gr8 course for anyone who wants to start data science

par Manuel E

Feb 06, 2019

Excellent guide to set up a DS environment. Easy to follow with minimal experience.

par Conrado H V G

Feb 17, 2019

Excelent course

par Kenichi A

Feb 17, 2019

I liked the fact that only nominal numbers of tools are explained with clear reasons. So, I can trust the recommendations and spend my time on learning these tools.

par Dongjin L

Jan 24, 2019

Such as great course