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Вернуться к The Data Scientist’s Toolbox

The Data Scientist’s Toolbox, Johns Hopkins University

Оценки: 17,067
Рецензии: 3,505

Об этом курсе

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....
Основные моменты
Introductory course
(рецензий: 1056)
Foundational tools
(рецензий: 243)

Лучшие рецензии

автор: 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.

автор: 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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Рецензии: 3,384

автор: Eduardo Munhoz Leite

Dec 12, 2018

An excellent introduction to Data Science. A must to all newbies - the course is engaging and full of real examples. The readings are a must, as well!

автор: Danilo S. Andrade

Dec 11, 2018

Muito bom, excelente metodologia!

автор: Ehab H Abdelhamid

Dec 11, 2018

The course pace is good for beginners.

автор: Kurt Rutter

Dec 10, 2018

Great intro to R programming and Git/Github.


Dec 10, 2018










автор: Deena Shanghavi

Dec 10, 2018

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

автор: Thays Britto Costa

Dec 09, 2018

Very good course!

автор: 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.

автор: Usenaliev Nurlan

Dec 08, 2018

Would be great to have more reading materials

автор: Nadim Daheur

Dec 08, 2018

Great course