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Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University

4.6
stars
33,958 ratings

About the 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
Foundational tools

(243 Reviews)

Introductory course

(1056 Reviews)

Top reviews

SF

Apr 14, 2020

As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.

LR

Sep 7, 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.

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1551 - 1575 of 7,155 Reviews for The Data Scientist’s Toolbox

By Yujue Q

Oct 5, 2016

Very good intro and brief us with the high level knowledge around the data science area

By Erick G d M

Nov 4, 2021

A great introdutory course! I recommend if you are starting your career in this area.

By David M

Aug 14, 2021

Nicely structured course. Thank you for all who devoted time and resources to make it.

By Anisha G

Jun 3, 2021

Thank you for this course! It helped me get familar with R and GitHub environment! :)

By Harish B

Mar 14, 2021

This course is well structured, had relevant content, and the technology works great,

By Elina R

Sep 28, 2020

Great introduction to the subject and basic R (installation, environment, Github link)

By Herman D P

Jul 14, 2020

I enjoyed the course very much and learned a lot of very useful data wrangling skills!

By Sofyan T

Jun 19, 2020

All material is very detailed, coherent and clear. Greatly added insight and knowledge

By Eric A

Mar 22, 2020

Great piece of course. I really love the package and the support base for the program.

By Adis B

Mar 9, 2020

In a easy and fun way we are introduced to the basic tools needed for Data Scientists!

By bharat c

Jan 25, 2020

awesome course structure and proper way to begin data science journey with this course

By CARLOS S

Aug 30, 2019

This is an Amazing course! I was able to learn so much!

Thanks for all in this project!

By Rafael M S B

Mar 22, 2019

An useful introduction to Big Data, R and RStudio. You don't need to know how to code.

By Alfredo L .

Mar 6, 2019

for me, it was an excellent and practical course, to learn softly from the ground up.

By Lucas C

Jun 6, 2018

Um curso incrível! Permite ter um primeiro contato com o universo da Ciência de Dados.

By Кирилл С

Apr 20, 2018

Very good as a starter pack for somebody completely new to programming and R language.

By Juan F G

Apr 15, 2018

Straightforward and intuitive. Great way to get an introduction to the specialization.

By JUNXIANG Z

Feb 4, 2018

It provides a really good foundation for the courses following in this specialisation.

By Johan d P

Nov 30, 2017

Good introduction and overview of data science concepts and what the course will cover

By 李俊宏

Aug 15, 2017

Good way of introduction to data science!

Before fighting, first you need your weapons!

By Tore D

Apr 25, 2017

Great introduction to the discipline of Data Science and the necessary tools required!

By Riahi L

Oct 5, 2016

Thank you for this formation, i have learned many thing related to scientist's toolbox

By Dana K

Sep 2, 2016

Great videos, good walk through the materials for those unfamiliar with programming (:

By Daniel A G P

Aug 8, 2016

It is an excellent first contact with such a complex discipline as it is data-science.

By Farhaan V

Mar 30, 2016

Excellent short course for getting introduced to essential tools for a data scientist.