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Volver a The Data Scientist’s Toolbox

The Data Scientist’s Toolbox, Universidad Johns Hopkins

17,997 calificaciones
3,644 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 AI

Apr 24, 2018

This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.

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3,521 revisiones

por Ващенков Владислав Владирович

Feb 21, 2019

Info is compressed but it is still available for understanding and useful. But I think new students can have some difficulties with git or github, because theres some not so obvious commands like swap branch, commit changes etc...But it is also good for students to learn use Google and look forward for tutorials :)

por Михаил

Feb 21, 2019

It very helpful course for first steps in data science. Moreover, It helps me knew about git, github and command line. Thanks to professors for handy materials and interesting quizzes.

por Shivesh Raj Sahu

Feb 21, 2019


por Joseph DiNoto

Feb 20, 2019

An excellent introduction to r, rstudio, and the basic concepts and functions of github (online version control for personal or collaborative programming projects). Great course, informative videos, lots to do and experiment with, I highly recommend it!

por Luis Adrian Flores Castillo

Feb 20, 2019

This course is essential to initiate SD

por Elisa Viciani

Feb 19, 2019

Very good course. I really enjoyed it and the provided course material was very helpful.


Feb 19, 2019

I really don't like the automated videos.

por Conrado Hernán Villa Gil

Feb 17, 2019

Excelent course

por Kenichi Araki

Feb 17, 2019

I liked the fact that only nominal numbers of tools are explained with clear reasons. So, I can trust the recommendations and spend my time on learning these tools.

por Michael Jonita

Feb 17, 2019

Interesting and relevant to my current job. Learnt something new which I can apply in addition to course requirements.