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The Data Scientist’s Toolbox, Johns Hopkins University

17,078 calificaciones
3,507 revisiones

Acerca de este 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....
Aspectos destacados
Introductory course
(1056 revisiones)
Foundational tools
(243 revisiones)

Principales revisiones

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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3,389 revisiones

por Abu Sayem

Dec 14, 2018

excellent course. very easy to understand everything

por Vanaja Pagiri

Dec 13, 2018

Gained some experience.

por Ciro Jose Hernández Montenegro

Dec 12, 2018

I liked it very much

por Carol Tojeiro

Dec 12, 2018

Great first module! Engaging and interesting.

por Ellen Hein

Dec 12, 2018

Already had experience with R.

por 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!

por Danilo S. Andrade

Dec 11, 2018

Muito bom, excelente metodologia!

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.


Dec 10, 2018