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

4.6
stars
30,604 ratings
6,522 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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4851 - 4875 of 6,383 Reviews for The Data Scientist’s Toolbox

By Justin K

May 26, 2020

The instruction is clear and easy to understand. I wish there was a way to move faster though.

By Giulio P

Dec 26, 2018

A good start into thinking lile a data scientist! Lectures are well thought-out and organized.

By Lorena C

Sep 7, 2018

very good for a beginner... but i was a bit disappointed as i thought it would have more dept.

By Derek R

Oct 14, 2017

It's a nice introduction and gets you to install some of the tools. Now I'm eager to use them!

By Arga R S S

Sep 17, 2016

Very enlightening of a course for those starting their journey as a data scientist or analyst.

By Waleed M

Jun 24, 2016

Nice course, but at the end it is just introductory course, so i am waiting for the coming one

By Joshua S

Apr 22, 2016

This was a great introduction to the tools. Just don't expect to actually do any analysis yet.

By Jeffrey C

Feb 11, 2016

Gives you the tools you need to learn the rest of the courses, by itself is completely useless

By AKSHAY M

Feb 22, 2020

It's a very nicely designed course which is very easy for beginners to start off with coding.

By Shreeraam

Jul 31, 2019

A great introduction to the necessary tools to kickstart data analysis through R programming.

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 Deleted A

Oct 22, 2020

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

By Rejwan 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 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

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