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

4.6
stars
33,934 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

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.

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.

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1326 - 1350 of 7,151 Reviews for The Data Scientist’s Toolbox

By Kai H Y

Aug 24, 2020

Interesting course to introduce R and R Studio, helping me understand the concept of Data science.

By Ekrem B

May 11, 2020

Thank you for everything. With a great lecturers video and materials i learned very useful things.

By Dr.P.S.Sreeja

Apr 30, 2020

It is a wonderful course to learn about the version control and integration of Rstudio and Github.

By Miguel D B

Feb 5, 2020

Straight to the point. I see a lot of value with the links provided for reference with the notes.

By Deleted A

Aug 27, 2019

This is a really good foundation course for those with minimal knowledge in data and repositories.

By Baron S

May 3, 2018

This was my first course on Coursera. I like the platform and I liked the content of this course.

By H. A E

Apr 17, 2018

Useful information. A bit more detailed explanation of how local Git works would be better though.

By Aurl L

Feb 21, 2018

A very interesting introduction course. Necessary I think, for a broad comprehension of this MOOC.

By Harshith S

Dec 9, 2017

Great for learning the fundamentals of R programming and Git. Looking forward to the next courses.

By Subhasis M

Oct 18, 2017

This is a very nice course giving a nice overview of the tools and concepts needed in data science

By Andrea L G

Sep 22, 2017

Very clear entry point for the following courses. Interesting side material. Good quality overall.

By Melwin J

Aug 17, 2017

Has a very good introduction to the tools used by data scientist and what data-science is about :)

By Giles A

Mar 22, 2017

A good course that quickly teaches you the basics of setting up R, Rstudio and Gitbash and Github.

By Fabiane P d A T

Feb 5, 2017

Great course, I'll surely recommend to my friend. Thanks a lot for sharing your knowledge with us!

By Han K

Oct 18, 2016

Very helpful. Looking forward to using what I learned in this course in the later related courses.

By Nicolas B

Aug 7, 2016

Excellent introduction to the use of various tools and some theoretical concepts for data science.

By Daniel Y

Apr 17, 2016

It is really a basic course, but it gives a necessary introduction to R, R studio, git and github.

By Gagan P S

Mar 31, 2016

Clean and simple to understand. Hope the rest of the courses in the series are of similar quality.

By Rana

Mar 2, 2016

Really enjoying the course. I'm finding it challenging but getting there through lots of practice.

By James J M I

Mar 17, 2021

An excellent introduction to Data Science as a field as well as the R Studio and GitHub programs.

By Tharaka S

Nov 19, 2020

perfect course to understand Rstudio and Github.

I would happy to recommend this course to anyone.

By Kowshik S

May 24, 2020

Great Learning!! Looking Forward For The Next Courses As A Part Of Data Science Course. Thanks !!

By ALOK S

Oct 9, 2019

The course gives an Idea what are the tools that are needed to become a successful data scientist

By Amy P

Mar 26, 2019

This course provided a good introduction to R Programming and Data Science which was very useful.

By Gregorio A A P

Aug 26, 2017

Excellent, But I would be grateful if you could translate all your excellent courses into Spanish