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The Data Scientist’s Toolbox, Johns Hopkins University

4.5
17,049 classificações
3,502 avaliações

Informações sobre o curso

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....
Destaques
Introductory course
(1056 avaliações)
Foundational tools
(243 avaliações)

Melhores avaliações

por 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.

por AM

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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3,382 avaliações

por Ehab H Abdelhamid

Dec 11, 2018

The course pace is good for beginners.

por Kurt Rutter

Dec 10, 2018

Great intro to R programming and Git/Github.

por LAKSHMINARASAIAH BODICHERLA

Dec 10, 2018

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por Deena Shanghavi

Dec 10, 2018

more hands on exercises (not just in the quiz) for Git would be helpful.

por Thays Britto Costa

Dec 09, 2018

Very good course!

por Ashish Khokha

Dec 09, 2018

Should spend a little more time explaining how interaction between Git and Github works. It is not very intuitive and requires revisiting the video as well as google search to understand it.

por Usenaliev Nurlan

Dec 08, 2018

Would be great to have more reading materials

por Nadim Daheur

Dec 08, 2018

Great course

por TARUN SAI NAREGUDAM

Dec 08, 2018

very useful

por Pritesh Shrivastava

Dec 08, 2018

very very basic course