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Learner Reviews & Feedback for A Crash Course in Data Science by Johns Hopkins University

7,170 ratings
1,367 reviews

About the Course

By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials. This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. How to describe the role data science plays in various contexts 2. How statistics, machine learning, and software engineering play a role in data science 3. How to describe the structure of a data science project 4. Know the key terms and tools used by data scientists 5. How to identify a successful and an unsuccessful data science project 3. The role of a data science manager Course cover image by r2hox. Creative Commons BY-SA:
Basic course
(76 Reviews)
Well taught
(48 Reviews)

Top reviews

Sep 9, 2017

This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.

Aug 27, 2016

Is really hard to summarize the potential of Data Science and being clear, but I think that the instructors have done their best, so that we can achieve the most from the Course.\n\nGreat Job!

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1251 - 1275 of 1,334 Reviews for A Crash Course in Data Science

By Rubén D C R

Sep 25, 2016

Excersices! real excersices to really understand the theory.

By Kunal S

Aug 3, 2020

Other than Jeff both the instructors were quite engaging.

By Kristen G

Jun 15, 2017

presenters were a little hard to follow. but good content

By Marcellus A

Nov 1, 2016

Good introductory course but a bit too superficial.

By Daniel

Nov 25, 2015

Concise but could already include a basic proyect.

By Patrick S L

Feb 6, 2020

More of a lean-back course. Missing case studies.

By Conrad W

Jan 4, 2018

Very high level but probably good for beginners.

By Alberto M B

Feb 28, 2019

Perhaps too shallow. I was expecting more info.

By Peter T

Jun 9, 2020

There is a bug in the last test of this course

By Joey S

Feb 23, 2018

Pretty General, Not many interesting points.

By Nandeep N

Jun 22, 2017

could have packed more punch into the course

By Deepak R

Jan 1, 2017

Good overview... but expected more content..

By nitesh w

Jul 10, 2017

It was very basic, could have covered more

By Chow T W

Oct 28, 2015

Simple and good overview of Data Science

By Richard B

Jul 2, 2017

it was a little lighter than I expected

By Jean-Michel M

Feb 13, 2019

The trainers are not equal in quality.

By Rippon K S

Sep 6, 2017

I find the course to basic in nature

By Brian N

Jan 9, 2017

A good introduction to data science.

By Valentina L

Apr 22, 2020

It's a great class but very high le

By C.J. d W

Feb 16, 2016

Very basic level, nice talks though

By Andrew

Sep 11, 2017

Beyond elementary in my opinion.

By James E M

Oct 30, 2020

The course needs better notes.

By tanmay p

Jan 20, 2018

useful basics for data science

By Dr.Palaniappan S

Apr 9, 2020

Practical example are needed


Feb 14, 2018

Good for ABSOLUTE beginners