Chevron Left
Back to The Data Scientist’s Toolbox

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

33,561 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....
Foundational tools

(243 Reviews)

Introductory course

(1056 Reviews)

Top reviews


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.


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.

Filter by:

6576 - 6600 of 7,051 Reviews for The Data Scientist’s Toolbox

By Juan J E

Oct 22, 2017

I was already familiar with some content. it was a good starting point for may training

By Craig G

Jan 27, 2017

A good intro to the tools, but for anyone with prior programming experience unnecessary

By Debanjan D

May 25, 2019

Okayish course. This course will give you an introduction in RStudio and Data Science.

By João P S

Sep 7, 2017

Too few activities for the time allocated. I completed this course in 4 periods of 2h.

By Danyal F B

Jun 7, 2017

I think the project became very confusing since no examples were done in the lectures!

By Seckin D

May 20, 2016

I think this class is best for academic people. I did not find what i was looking for.

By kheman g

Aug 5, 2020

This is a very basic of the course where I learned so much about the different tools.

By John Y

Jul 8, 2017

This could be wrapped into one of the other courses since its just environment setup.

By Ryan C G

Jan 17, 2017

Pretty simple, the Univ of Michigan Data Science with Python set the bar pretty high.

By Ankush K

May 31, 2017

A little boring. Necessary if you have ABSOLUTELY no experience with data analysis.

By Drake O N

Mar 17, 2017

Good starter setup. Looking forward to the technical portion of the Specialization.

By Yash D

Mar 24, 2020

the course is good but the language is little bit hard because it is auto generated

By John P

Aug 24, 2017

peer review was sporadic, had to redo several assignments based on language barrier


Nov 12, 2020

Una buena introducción de los fundamentos y herramientas para el trabajo con datos

By Snow L

Nov 17, 2020

This was a good intro for novices, except the automated robot voice was annoying.

By João L

Dec 31, 2019

It`s too introductory. The methodology with an IA voice it`s not comfortable yet.

By Ivan S

Jan 12, 2016

highly recommended for newbs in any kind of development, otherwise waste of time.

By Sudarshan C

Jan 8, 2016

The course was very limited, it should have been combined with Introduction to R.

By Jannatul N

Jun 22, 2020

i felt like this is so robotic. and in many cases i needed to learn from YouTube

By Antonio M

Dec 5, 2017

I suppose it is ok as a foundation. Otherwise, it doesn't offer much on its own.

By Caleb J

Feb 25, 2018

Not a lot of good information. Just introducing you to the programs being used.

By عبدالحميد ع ع

Nov 29, 2017

all the content of the course could be a week of some course of specialiazation

By JiHong K

Oct 21, 2017

Too simple and most contents are overlapped (already covered) in other sessions

By fengming s

Mar 17, 2016

Upgrade to submit? That's meaningless. Especially for this fundamental course.

By Max

Oct 2, 2017

It was good as an introduction , meanwhile its contents are little for 4 weeks