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

4.6
stars
32,459 ratings
6,925 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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5151 - 5175 of 6,813 Reviews for The Data Scientist’s Toolbox

By Sanidhya S

Dec 21, 2018

Great cousre for starting in the data science since, it contains the installation and usage of tools .

By Danylo K

Sep 10, 2018

From the begining of the course thats difficult to catch structure if you are new to the Data science.

By Russ L

Apr 14, 2018

More direct examples would be nice. Kinda like what they do on Data School. Otherwise very well done!

By Aliaa M A

Nov 30, 2017

Brief and Excellent! Content great for anyone getting into software development not just Data Analysis

By santiago R

Jun 30, 2017

Nice Course. Important to have a general idea about what is necessary and also useful for data science

By Matthew S

Sep 5, 2016

great intro to stats concepts for data science and the programs. No real coding taught in this though.

By Victoria S

May 26, 2016

Helpful for people with no experience on the subject matter. Very straight forward and easy to follow.

By Saul H

Jul 8, 2020

Really good. Just some minor issues with the automated voice and some typos. All in all great though.

By Nivedh R

Jan 15, 2018

Good, simple introduction to the specialization. Accompanying PDF slides would be great if clickable.

By Siert A

Nov 3, 2016

Very good introduction. It is a very basic, but much needed step. Setting up the tools you will need.

By 徐凡洁

Oct 4, 2016

nice course, but it would be better if the teacher can give us more details more about git and github

By Karthikeyan M

Jan 28, 2016

Interesting to know about Data Scientist and the tools. Eagerly waiting to go through the next lesson

By Sachin U

Jan 23, 2016

Very informative course. The Quiz questions however may not be necessarily be in the course content.

By Shanazar N

Aug 3, 2020

The only minus was that it was hard to catch automate sound. Except this the content is informative.

By Abhishek S S

May 25, 2020

very nice Course for understanding basics of data science and Rstudio also help to understand github

By Kok H W

May 20, 2020

Not a fan of automated videos. However, they provided a read-up following the videos so it was good.

By Omar K

Jan 26, 2017

The course is a nice set up for tools and environments that you need for other data science courses.

By Jordi A B

Feb 9, 2016

It's fine, but mabe quite easy. 4 Weeks are too much. This course could be done in a couple of days.

By Rakesh A K

Feb 22, 2021

It is helpful to grace my knwoledge and i get better knowledge from these course thank u very much.

By Kyaw W

Dec 13, 2020

Better u python instead of R programming.

and put guided for course material installing on Linux OS.

By Venkata R S R

Mar 20, 2020

The videos voice is a little different but overall the course content and explanation is very good.

By Kevin H

Jun 29, 2017

Certainly informative and set up very well. There wasn't a ton of content. This is a prep course.

By Priya D

Feb 3, 2017

Very thoughtful and well-executed course. Although, one of the professor's voice is not very clear.

By Cristina P

Jan 10, 2016

Very easy going, but I think week 3 has much information, maybe a step by step toturial might help.

By URK17EC174 N V

Apr 30, 2020

This course has enabled me to further extend my capabilities to become an aspiring data enthusiast