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

4.6
stars
29,965 ratings
6,391 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

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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4726 - 4750 of 6,248 Reviews for The Data Scientist’s Toolbox

By chintamani M

May 4, 2020

very good course with strong focus on building basic foundations and making concepts very clear

By Pritam D

Jun 5, 2019

I was having a problem with quiz 1 of week 2.

otherwise, the overall course really benefited me.

By Sarvesh P

Oct 16, 2017

It is a well made course. A bit basic for my liking. The content on Github was a bit confusing.

By Miguel B

Dec 18, 2016

Simple and very straight forward, I belive this is the best way to give a starting point course

By Lixian

Jun 5, 2016

I is not so difficult for a beginner, but I suggest it could be more information in the course.

By Abdülhey E

Oct 31, 2020

The voice of the robot was a bit annoying. but the overall of the course was perfect.

Thank You

By Aayush A

Jul 3, 2020

The robotic voice is kind of uncomfortable to study with and the captions are sometimes wrong.

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 25, 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 9, 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.