Chevron Left
Back to The Data Scientist’s Toolbox

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.

Filter by:

4976 - 5000 of 7,122 Reviews for The Data Scientist’s Toolbox

By eniola j b

Jun 17, 2021

This is a wonderful project. Got the proper prep i needed to develop my interest in data science and analysis. Want to thank the organiser for a doing a fantastic job at organising and also teaching in the best way possible. Cheers!

By Guillermo D

Oct 17, 2016

El método que sigue el curso me ha sorprendido para bien. Hay determinadas herramientas que aún no comprendo bien qué utilidad podría tener para mí. Quizá porque este primer mes sea muy general. Veremos qué aprendemos este nuevo mes.

By Annie C

May 24, 2021

I enjoyed the simple informative lectures. It was easy to get along and practice on our machines. I would have liked some course materials on the lectures along with the classes to follow through as refresher guides for the future.

By Nil G

Feb 14, 2016

Very good composed, explains in a very good manner the complex topic, a general overview about the tools and their connection to each other would be great and helping, as there are many tools to install and understand the functions.

By Ayman I

Mar 2, 2021

Clear and relevant content that is easy to understand and follow. My only gripe is that the lectures given in text-to-speech robot voice are dreadful. It's not a deal-breaker since there was the option to read everything instead.

By Joshua M

Mar 18, 2018

A very good course to learn the different applications needed to start data science. Lectures and examples are easy to understand. Highly recommended to those who would like to know and start a career in the data science field.

By Gágik A

Jul 31, 2016

The course itself only introduces the main aspects and helps with installation of the tools, while no actual programming is taught. But it is useful for having better understanding of the following courses in the specialization.

By Aoife M

Nov 7, 2019

Informative course which provides new information in chunks to make it accessible for all. Varied resources to aid all types of learners and regular assessments are helpful in understanding the learning objectives of each week.

By HT

Feb 16, 2017

Super friendly to new beginners with clear definitions and easy-following learning path. Although a bit of slow for me. I'd recommend anyone without programming background to launch their study in data science with this course.

By Gustavo M S

Jan 4, 2021

I've enjoyed the course and liked the course format, but bear in mind this is a very basic course. in it, you will learn how to install R and a version control software, and you will learn the most basic data science concepts.

By Andrey S

Jul 6, 2018

A nicely designed introductory course of the specialization. Doesn't' have any sufficient value as a standalone course, still, has crucial importance for the thorough and successful study of other courses in the specialization

By Antonio G M

Jan 3, 2019

It is a nice course. From my point of view it would be great if it included more advanced content but I understand that it is an introductory course so it is ok. In that sense it is great for people that is new to this topic.

By Kari R

Dec 4, 2020

Great concepts for someone new to R, R Markdown and data science. Im only putting 4 stars because I wasn't a fan of learning from a bot, and video content didn't closely demonstrate the how to during technical walkthroughs.

By Uğurcan K

Aug 30, 2020

It's indisputable that topics in this course are so important to build a foundation for being a data scientist. The only problem I've faced is that the lessons are much slight. It should have given more details about topics.

By Atef A

Nov 17, 2020

The course is well explained and give a great introduction to Data Science, but i would found it easier if the speed of instructions was slower and the tasks had more details in them to follow. In general, very good course.

By Jonelle C

Sep 11, 2020

Very easy to understand program, step by step helps a lot and the videos are actually very informative and helpful. I had a few problems with downloading and integrating Github into my Rstudio but it was easy to figure out.

By Zhao Y

Oct 21, 2018

got a general view of tools that data scientists need to know about or master. really useful and inspiring. this course encourages me to figure out problems I might meet during data analyzing like a data scientist. cheers.

By Lindtner A C

Jun 8, 2017

it was hard to find to rewatch to git tutorials, as it was very fractured. Also, hated watching MAC tutorials to get all the vids done. Otherwise useful and well prepared material, looking forward for the rest of the spec.

By Sapna G

Jan 20, 2017

My first online course and it could not have been any better. Gives me the confidence that I can learn online and add to my knowledge new things. Course material was explained in simple terms which is not the case always.

By Sangeeta C

May 4, 2023

As there is version difference between mentioned in guidelines and the available versions one hence sometime need other supports to understand it.

Coursera should update the content as per updated versions of softwares.

By Carlos C

Aug 19, 2020

Good course to get you started on the Data Science Specialization from Johns Hopkins University. Maybe it could have had more weeks or more content, or at least more complicated exercises, but overall it's ok to start.

By Leah F

Jun 26, 2020

I think the submission for the markdown file should be allowed to be EITHER an .md file OR an .Rmd file. Seems kind of silly to lose credit for pushing a .Rmd file directly from RStudio rather than saving a text file.

By Jeffrey G

May 30, 2017

It was a fine overview. I think the suggested text was also okay, but for a $10 suggested price, I would say that there should either be a reading assignment or it should be made more clear that the text is optional.

By Álvaro S F

Aug 27, 2020

I wish I could listen to the professors' actual voices, because doing so in a more natural way would help me avoid tuning out from the lessons from time to time. But I fully understand why they are doing it this way.

By Anne N N T A

Jul 7, 2020

OK introductory course to the tools used by data scientists, however it's a bit odd this is a standalone course; IMO the course content isn't enough and should be combined with the next course in this specialization.