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

4.6
stars
33,829 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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526 - 550 of 7,122 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 nikhil n

Apr 12, 2023

Some of the content especially how to push a document in github through Rstudio is incomplete.

Creating Authentication tokens to push the files in github repo should be included

By Pete F

Jul 24, 2021

Not technically difficult, but very useful to see how real-world tools are used in real-life scenarios. Looking forward to blending this with the technical courses on R itself.

By Syed A S

Jul 24, 2020

An excellent course about how to generate information from raw data, its an age compatible course that's help to see the future world with more real way that is based on facts.

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 A

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 Hari S

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 Charan R

Mar 9, 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 3, 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 14, 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 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 6, 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 5, 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 8, 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 Dafert F

Mar 25, 2022

Thank you for all the knowledge you have imparted to me, very good methodology, all the super great material, I hope to continue training in this beautiful world of BIG DATA.

By Garima S

Sep 11, 2020

I found the course really useful. It helped me to develop a basic understanding of Data Science. I'm really looking forward to continue with the remaining courses. Thank you.

By Jan K

Mar 7, 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 4, 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 Wendy K M

Aug 30, 2022

Good beginners data Science course. I am new to data science and learned a lot from the course. I will like to learn more in this field especially the data analysis aspects

By Jefferson E

Mar 27, 2021

In general a good course to introduce in Data Science world, but when the course introduce in R packages some things like open R Studio like administrator are not specified.

By Rosa M

Feb 17, 2021

The Data Scientist's Toolbox is a quick and thorough introduction to the software needed for R programming and configuring it properly for the next class in the certificate.