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

4.6
stars
33,568 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

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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6651 - 6675 of 7,051 Reviews for The Data Scientist’s Toolbox

By Pablo G

May 14, 2016

great content, a little long course for the provided content

By Prazzal D

May 2, 2020

This course was too much theoritical but was a good course

By William E

Feb 13, 2016

Very basic if one has already worked with software before.

By Sameer

Sep 21, 2020

Some of the quiz questions are just useless and annoying.

By Pedro J H M

Nov 6, 2017

A brief and easy introduction.

It should not be mandatory.

By jhalak g

Oct 10, 2017

would like to have more detailed and interactive sessions

By BILASH P

Jun 4, 2020

This course is good. But automated video is so annoying.

By Jacob P

Jul 1, 2019

Seems to be somewhat useless in terms of actual content

By Anandwade N

Feb 25, 2018

give you good basic for data science and tools required

By Joshua K

Jul 5, 2017

Pretty Basic, but helps get you in the swing of things.

By PRABHAT K

Jun 9, 2017

Good for understanding tool and how to work with Github

By Avi C

Jul 20, 2016

Just an intro and learning a bit about Git and Git hub.

By Victoria M

Mar 14, 2016

Doesn't provide a strong enough base for R Programming.

By Anagha J

Feb 7, 2016

Good and basic understanding of terms.

Can be made vast.

By Jay D

Apr 8, 2020

Just the basic setup... pretty slow but informational.

By Morgan A G

Feb 18, 2018

Very easy, I am unsure if this is a good thing or not.

By Rafael C

Feb 16, 2017

Good course, but worth only for really basic learners.

By Vivek K

Jan 8, 2017

Not really a course, should just be Week 1 in course 2

By Veli-Pekka V

Oct 22, 2016

Covered basic elements of data science and statistics.

By Yusuf T

Nov 10, 2021

The automated videos and bot voice is extreeeemly bad

By Mauro P

Feb 7, 2018

I would like to see more practical exercises about R

By jiminkang

Jul 27, 2021

An AI voice makes me hard to concentrate on lecture

By zin

Sep 26, 2019

It was helpful in getting to know R and R packages.

By Smit A K

Mar 26, 2019

The entire course can be explained in 2-3 lectures.

By Alaa E D H

Jan 14, 2018

this part is not necessary, keep it optional please