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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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5076 - 5100 of 7,122 Reviews for The Data Scientist’s Toolbox

By Abdullah A

Jan 22, 2021

The course lacks the human part, since it is only a robotic voice, with no emotion and excitement.

But apart from that the course content was good and easy to follow for the most part.

By Nikhilendra M

Aug 26, 2019

The final assignment was really helpful in implementing what we learnt through the course. Some more details on the integration between Remote & Local folders would have been helpful.

By Xavier C

Jun 25, 2018

Havegreatexpectationfortherestofthecurriculum.Visual presentations could be substantially improved, including the audio volume. But in general, great start down the Data Science path!

By Rajanikant T

Aug 31, 2017

This is just a basic overview into the world of data science. I would recommend only to the students just starting out in this field. Still, is a good course starting out. Have fun !!

By Fouzi T

Aug 12, 2017

Thanks to Johns Hopkins University for this helpfull course. It helped me a lot to understand the fondamentals of what data science is and the bueatiful tools used by data scientists.

By Ximena V

Jul 17, 2016

All excellent and a very good introduction. I wish I was able to get my quiz graded without having to pay just to see if I was learning. For the rest, I recommended for a great intro.

By Pat S

Apr 21, 2018

This course describes the overview and useful tools for doing data science with less details. The material only prepare you for taking the other courses in the specialization track.

By Felipe K H

Apr 4, 2017

Overall the course is very good and well paced, but I believe it could be a bit more clear in the git and github lessons on how to push from your local repository to your remote one

By Stella L X T

May 30, 2020

Not bad to start off with! It teaches installation of all the required things for starting off R (e.g. RStudio, GitHub), and gives a basic understanding of experimental design too.

By Javier A P O A

Jan 27, 2020

Al inscribirme en la especialización figura el español como uno de los idiomas en los que se dicta, pero no estaba disponible para este curso, por eso lo clasifico con 4 estrellas.

By Zili D

Sep 16, 2018

Great course. But sometimes it's a little bit difficult to follow, because the instructor just listed those Git commands without actually demonstrating how to use Git step by step.

By Chad

Sep 8, 2018

I was already familiar with the stuff taught for the most part. I think they should do more tutorials on how to install and do things though for those not experiecned enough in it.

By James C

Aug 12, 2016

Good introductory course pointing to background reading materials and providing context for following courses as well as supporting the installation of the required software tools.

By Samin B

May 31, 2022

This is a great introductory course to what it feels like to be a data scientist or analyst. It teachs the proper culture and etiquette carried out in the data science community.

By Debabrata G

Apr 25, 2022

The basics were well explained but the robotic voice is not engaging and I understand and appreciate the reason behind using it but further development in speech synthesis needed.

By fisica f

Jun 8, 2021

Es un curso basico para entrar en el mundo "Data Science" es imprecindible complementar este curso inicial con otros , sobre todo por que se necesita mas conocimiento con Rstudio

By Renzzo S S

Oct 31, 2020

Excellent course to start from zero! if you have some knowlegde or a little of selflearning you can only take the weeks that has theory, others are how to install R and its tools.

By J. E M

Jul 9, 2018

Seemed simple, but had to figure out some things that weren't explicit in the videos for the exams. Helped in my learning, but frustrating for a very pure beginner in programming.

By PINKO W

Sep 7, 2017

Professors could extend the videos by more examples and illustration for deeper understandings of the students. The tests could cover more items and deeper contents of the course.

By Subhankar J

Jul 23, 2017

A little more could've been explained about Github, overall the course was highly comprehensive with regular quizzes and assignments helping me to identify my mistakes and on them

By Colleen M

Feb 16, 2022

I have learned really great information, but I am a newby so the course moves a little quickly through the items that we are supposed to complete in coordination with the videos.

By Jonathan R

Jan 31, 2018

I would like this course to be longer. To have more practices and to have at least one lab with data for running some simple functions. Other than that I think is a good course.

By Gavin D

Apr 27, 2016

Practical to do if you are continuing with specialization. Ensures all students have the correct setup, which is important. I'm not sure how useful it would be on its own though.

By John C Z J

Feb 29, 2016

Gives a great foundational overview of what Data Science is, as well as getting your technical environment set up for the future classes in the Data Science Specialization path.

By Deepsagar V

Aug 26, 2020

A great course content by using machine to teach you. However it is little fast and few things got unclear. Especially Rstudio and Gitbash. Need to study it from other sources.