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

26,806 ratings
5,603 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....
Foundational tools
(243 Reviews)
Introductory course
(1056 Reviews)

Top reviews


Sep 08, 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 15, 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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351 - 375 of 5,479 Reviews for The Data Scientist’s Toolbox

By Zhiming H

Feb 27, 2020

Overall, a very nice introduction to the basic concepts. Although I've worked with R before, there were still things that I've never heard before (mainly Github and R Markdown).

By Lauri G

Dec 20, 2018

While this course is basic, it tells everything you need for the following ones. I'd add some more Git basics (other than read their documentation which is indeed a good point).

By mayank t

Oct 20, 2016

awesome course for learning data science and R.It is really helpful for beginners who wanna start or learn data science.Recommended for anyone who knows basic programming ideas.

By Vaibhavkumar P

Jun 20, 2020

Thank you so much Coursera for providing this course from reputed university it is honor and privilege to get these learnings it will enhance my skill and helpful in my career.

By Vaibhav D

May 15, 2020

I found it very much convenient apart from Automated Video lectures. I believe teaching by prof will have much more impact on us. Indeed I liked the course.

Thank you very much.

By ColdCrush24

May 25, 2019

Class was cool. I have meaning to learn how to use git, github etc. I think version control is very valuable. That is definitely the thing that I got most out of this course.

By N S C R

Mar 09, 2019

This course helps to understand the usage of R with RStudio and Git integration with RStudio.

I Recommend this course to all those aspirants who are moving towards Data Science.

By Rushil K

Mar 04, 2018

Everrything is good but how do I access some links in the video. The PDF files I download, also don't seem to have it. Unless it is a problem with my adobe reader - let me know

By Solange M T Y

Nov 15, 2017

I liked very much, brought lots of information according to Data Science. Thanks! I appreciate a lot the first course and preparing myself to participate of the others courses.

By Connor H

Sep 18, 2017

Maybe a little slow if you already have some technical exposure, but pretty straight forward and easy to follow if you don't. A well balanced class in my not so humble opinion.

By Rafael d R S

May 16, 2017

This course is great, mainly for people without any experience in the field as it is very basic and introductory, I'm very anxious to see how we are going to advance from here!

By miguel G

Mar 06, 2017

This course is the first step to dive into the data science course. One finds a lot of videos about how to create and use the tools to carry out the specialization. Great job!

By Nicolas A

Jul 05, 2020

Es una Especializacion muy importante y el manejo pedagogico y metodologico Que realizan los profesores,ayuda mucho a los que estamos iniciando en este campo del conocimiento

By Zhou C

Jan 14, 2018

Great first course of the whole specialization! This basic one is very important for later study because "Grinding a chopper will not hold up the work of cutting firewood" : )

By Rian D

Jan 08, 2018

Great overview to all the skills and applications we will be using later in the Data Science Specialization. It is brief but was great to get an overview of R, github, etc ...

By Jan K

Mar 07, 2017

Nice introduction to many basic tools and concepts that are substantial to the work of a data scientist. Also, a good start for a person encountering MOOC for the first time.

By Ayesha S

Jan 04, 2017

Thorough grounding in the basics. Even a novice like me could grapple with it, even though it did not come naturally, all the information was accessible for tasks. Thank you.

By Bhargava B

Feb 16, 2018

This is an introductory course. This helps those who are starting from the absolute basis level, and the course does a good job with regard to getting the feel of the tools.

By Farhan

Dec 02, 2017

Great Introductory course on Data Science. Would have been better if it covered a little more. But as the first course in the specialization, it covers all the basic fields.

By Ozgur O C

Jan 04, 2017

Fantastic introduction to a topic I always found daunting. Thanks to everyone involved for preparing such an informative and soft approach to a hard topic like data science.

By Jonathan L

Jun 11, 2016

Very simplistic and could be covered in a handout as part of another course. Unfortunate that this is a requirement of the specialization, otherwise I would have skipped it.

By Prem K S

Jun 16, 2019

Interactive, informative, valuable course for beginners who wants to make career in data science and analysis. Learned data analysis tools and introduction on data science.

By Eduardo A R A

Dec 31, 2017

Very nice course to present a panorama of what is data science as well as the main tools used. I strongly recommend buy the "Elements of Data analytics style" From J. Leek.

By Shashikesh M

May 16, 2017

This was a great experience for me, I would personally recommend every data science aspirant to take this course before starting with programming in R or Python language.

By Mikkel H J

Mar 17, 2017

Give a brief and concise introduction to many of the tools a data scientists should be familiar with. It serves as a good starting point for someone getting into the field.