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

4.6
stars
32,668 ratings
6,971 reviews

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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5251 - 5275 of 6,861 Reviews for The Data Scientist’s Toolbox

By Anirudh J

Jul 29, 2018

Is a great course for beginners.Just wish it would have been designed to be more interesting.

By Alexis R

Nov 11, 2017

Excellent. Can you provide links of your PPT. The ones in the pDF are not clickables. Thank's

By GIBOIRE J

Oct 19, 2021

P​ractical and accurate, concepts and procedures are introduced as we need them to progress.

By Xin G

Sep 25, 2021

Those tools are too basic which only helps newbies to warm up. However, it is quite detailed

By Deleted A

Oct 22, 2020

In my opinion , the real person sound can be better to consantrate to the lecture deeply. :)

By Rejuwan S

Sep 10, 2020

It will be good if these guys describe more about R markdown and github otherise it is good

By Mari G F

Mar 24, 2018

Not a lot of practical application, but good conceptual intro with a little bit of practice.

By Christian L

Nov 26, 2017

Good presentation of information and stressed the importance of "hacking" and self-learning.

By Paresh D

Oct 28, 2017

push and pull of repositories should have been explained more clearly,rest course was great

By Chris D

Jun 3, 2017

A little incomplete as a standalone course. Really forces you to pay for additional courses.

By Elizio R d A

Mar 6, 2016

The course is great, I just think the course should has a little more content to be perfect.

By Sanele K

Mar 13, 2021

A very good course that will well prepare you for future courses you'll take in the future.

By Saad B M A

Aug 27, 2020

Amazing experience I got from this course. It is a perfect intro to the data science world.

By Tanya S 2

Jul 18, 2020

Good content. Easy Accessibility. Clear and precise learning. loved learning this course :)

By Ben W

Jun 17, 2020

Good introduction to the tools that will be used in the rest of the courses in this series.

By Hongxuan Y

Feb 5, 2020

This course would be quite helpful for those who step into data science for the first time!

By Aman K

Jun 5, 2018

Good course, can be better with some small tweaks here and there otherwise well structured.

By Nana A B

Jun 2, 2018

This course definitely gave me a great overview of what to expect in the data science field

By Matheus P S

Feb 12, 2018

Como curso introdutório das ferramentas muito bom. Achei um pouco longo desnecessariamente.

By Changlin Z

Aug 28, 2017

very good starting point for people does not have any background in stats and R programming

By ATHARVA G

Jun 7, 2020

peers reveiw should be removed rather than that something other assingment should be given

By Samin Y

Apr 26, 2020

The course was super easy but super effective. Thank COURSERA for this amazing experience.

By Matt K

Jun 10, 2018

Instructors could do more demonstrations to make things more clear. Other than that, fine.

By Gautam J

May 22, 2018

This is course teaches the basics and installation only but is very good for that purpose.

By Diego G

Feb 5, 2016

Me quedó un poco vacio lo de GIT, tuve que averiguar más por mi mismo, pero esa es la idea