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

21,170 notes
4,225 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
Introductory course
(1056 avis)
Foundational tools
(243 avis)

Meilleurs avis


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.


Jul 22, 2017

Great Primer for what Data Science is about. It also provides the infrastructure of tools needed. This was what I was after, a way to provide other data scientist hardware and infrastructure support.

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176 - 200 sur 4,095 Examens pour Les outils du scientifique des données

par Rony M

Apr 05, 2019

Excelente método e excelente material. Muito instrutivo e prático.


Mar 31, 2019

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

par Fabiano d L S

Apr 14, 2019

Amazing start

par Замышляев А Ю

Apr 14, 2019

It was interesting and useful, tnx

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.


Apr 09, 2019

Gr8 course for anyone who wants to start data science


Apr 08, 2019

Very Good Course

par Elimane N

Apr 11, 2019

Very good and usefull course!

par Magdiel B d N A

Apr 12, 2019

Thats great

par Carlos A M O

Mar 13, 2019

Very good course

par Igors K

Mar 12, 2019

good tool tips but with some hard to make SSH and pull not working downloaded github desktop and take projects from RStudio and pull, using github desktop maybe add some tips for this program because to some person it will help like me, every have diferent PC and language.(Searched google every writing about some space not about solving problem)


Mar 13, 2019

still required in depth concept about github.

par Moshfiqur R

Mar 13, 2019

excellent.... course to enter data arena....

par Ashwin S M R

Mar 12, 2019

Real good start to the Data Science Specialization

par Ryan M

Mar 04, 2019

Excellent introduction course.

par Frank Z

Mar 03, 2019

Jelly good

par Mandar G

Mar 04, 2019

very good course

par Anatoli K

Mar 14, 2019

Интересно было посмотреть как работает один из лучших исследовательских университетов мира.

Кроме настройки программного обеспечения много узнал об основных принципах науки о данных.

Очень понравился пример с Хилари Клинтон. Возможно это был роковой момент в её поражении.

par Ross D

Mar 13, 2019

I was already familiar with R and RStudio and found the portion on using Git/GitHub particularly helpful.

par Izhar A

Mar 14, 2019

good content.

To the point

par Anthony H

Mar 13, 2019

The course offers a practical and simple explanation about introduction into Data Science

par Robert

Mar 06, 2019

After this course I have knowledge of the tooling I need for practicing data science.


Mar 06, 2019


par Alfredo L .

Mar 07, 2019

for me, it was an excellent and practical course, to learn softly from the ground up.

par Prateek S

Mar 07, 2019

This is really an awesome course for a basic introduction to data science.