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

4.6
stars
33,937 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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5126 - 5150 of 7,152 Reviews for The Data Scientist’s Toolbox

By Rachel K

Dec 27, 2017

I was able to set all the programs up that I will need to program in R, but I still feel like I don't really know the basic overview of what I will be doing in this specialty.

By Philip W

Oct 18, 2016

Useful introduction to the world. Could have been a bit longer and gone into more detail about a variety of other factors is my only comment, but overall pretty happy with it.

By ramanathan l

Apr 7, 2016

This is a fantastic course, being a person who already works with loads of data I can surely stand by the statement that "This is a fantastic base line to all your data needs"

By Vishal M

May 22, 2018

Could provide live demo of creating markdown file & pushing into the remote repository.

Overall the learning was awesome. Was a good guide to go forward to subsequent courses.

By Greg S

Nov 15, 2017

Straightforward (although I am already familiar with markdown and git, so that helps). Lots of good groundwork here though, setting the scene for the next round of material

By Shaik M U

Feb 20, 2017

Coursera has changed the way of learning,Yes anyone can learn anything and everything at the comfort of their own time and place......

Thanks Team COURSERA....Keep Going....

By Brandon B

May 22, 2016

It's a good introduction to data science. However, without prior knowledge of statistics, programming, and research methods the course would be fairly difficult to follow.

By Layilla W

Aug 2, 2020

the robotic voice got a bit annoying towards the end of the course, but overall i like the course and found it informative, cant wait to continue with the specialization .

By Willie C

Jan 21, 2020

This course is fairly rudimentary, but it does a really nice job of getting you all set up with the tools you'll need to tackle the rest of the Data Science specialization

By Hannah B

Jun 4, 2019

The part where GitHub, Git and R are connected was very interesting. However, as a fairly experienced R user and scientist, I wish I could have skipped some of the parts.

By Ashley B

Mar 31, 2021

The robotic videos are crazy different from seeing an actual person on a video like in the IT Specialization. That's my only real complaint, otherwise, I learned a lot.

By Luis E R R

Apr 29, 2020

I found this course to be quite useful, albeit introductory. I kind of was hoping for more material. Nevertheless, for a beginner, I believe it is completely appropiate.

By Neha S

Oct 10, 2016

Good start for the beginners especially for people new to the data science. Topic are not covered in depth but as its just a introductory course so its totally fine..

By Mechell S

Dec 12, 2020

A great introduction to the world of data science. This course gives a good foundation of what is expected as a data scientist and the tools required to complete task!

By Alex B

Aug 26, 2019

Well explained, step by step instructions on how to install and use the tools

Potential to improve: use more visuals in de instructions (many times now it is only text)

By Mark M

Jul 1, 2018

Provides a good overview of what will be learned in the Data Science specialization. Good introduction to the software tools required and how to set them up correctly.

By Luis A V C

Mar 10, 2016

Basic tools for shareing and develop that right now I don´t consider usefull. In the other hand, the content is well explained so right now I new how to use new tools.

By Bhargava P

Jun 23, 2017

I think it did give a bit of an overview but I expected a little more stuff on actual Data Science and not on how the course actually works...

But good start.

Thank you

By wangxinwen_amy@163.com X W

Nov 7, 2022

The R credentials have been changed for pushing from Rstudio to GitHub, but the information in the course hasn't been updated yet, which will cause the push failure.

By Donovan W

Mar 17, 2018

Good for getting started, installing the necessary software. Wish github commands and markdown were explained a bit more, but that is likely done in a later course.

By Kristin A

Jun 8, 2017

A nice survey that you can complete over a weekend if you do it in a concentrated dose. It really is just an introduction, though, and it only scratches the surface.

By Cal B

Oct 15, 2016

Started out a bit slow with material that I felt was somewhat extraneous, but then got to the good part (hard part?) of installing R and getting it working with GIT.

By Lisa P

Feb 6, 2016

This course is good if you have zero background in R and using GitHub. It'll walk you through installing what's necessary and give you basic tips on how to use them.

By Saptarshi M

Jun 12, 2020

i am little weak at understanding things when taught for the first time. so understanding and learning about toolbox was little difficult due to the computer voice