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

4.6
stars
33,148 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

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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6601 - 6625 of 6,978 Reviews for The Data Scientist’s Toolbox

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

By Juliana C

Sep 25, 2017

Very introductory course, give an overview of tools

By Renata G

Jul 3, 2018

Good course, but lectures are sort of superficial.

By Rob L

Mar 22, 2018

Maybe a good basic intro course, but quite simple.

By Suhas K

Apr 24, 2019

I wish there were more exercises for the project.

By Vasilis Z

Jan 16, 2017

nothing special, no significant knowledge gained.

By James P

May 28, 2016

Later courses are better. This one is quite easy.

By Patrice E

Feb 23, 2016

Good but needs more assistance with the students.

By Dwi N R

Aug 30, 2020

This Course is great. but the speaker is too bad

By Xiaojun L

Mar 30, 2017

The git and GitHub section is not very clear....

By Rishi R

Mar 4, 2017

Too basic, not very informative. Waste of money.

By Vitor F M F

Jan 9, 2017

The course is too short and I didn't learn much.

By Rafael L

Feb 4, 2016

Quite basic, but good to set the needed programs

By Sagar D

Jun 20, 2016

Decent for a start. Focuses too much on Github.

By An Y

Feb 7, 2016

Thought it was too easy to be its own course :)

By Nel A G

Jun 8, 2020

A good high-level introduction to data science