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The Data Scientist’s Toolbox, Johns Hopkins University

4.5
17,026 ratings
3,496 reviews

About this Course

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....
Highlights
Introductory course
(1056 Reviews)
Foundational tools
(243 Reviews)

Top reviews

By 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.

By 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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3,378 Reviews

By Thays Britto Costa

Dec 09, 2018

Very good course!

By 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.

By Usenaliev Nurlan

Dec 08, 2018

Would be great to have more reading materials

By Nadim Daheur

Dec 08, 2018

Great course

By TARUN SAI NAREGUDAM

Dec 08, 2018

very useful

By Pritesh Shrivastava

Dec 08, 2018

very very basic course

By Chandra Shakhar Kundu

Dec 07, 2018

I think more info about git and other toolboxes would be interesting. It took 1 day to complete the whole course.

By Deepak Saldanha

Dec 07, 2018

Very en-lighting, thank you

By 何驾澍

Dec 07, 2018

Good Tutor!

By Diego Garcia Lopez

Dec 06, 2018

Good Intro to Data Science and the program to follow.