Chevron Left
Back to A Crash Course in Data Science

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

7,426 ratings
1,411 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!

Filter by:

826 - 850 of 1,378 Reviews for A Crash Course in Data Science

By Laxmi S

Apr 5, 2020


By Pawan S

Mar 23, 2020


By Priyanka R

Dec 18, 2019



Oct 3, 2019


By Bommannagari M

Mar 30, 2019


By kailas s

Jan 15, 2019



Oct 1, 2017


By Khoo W Q W

Jul 16, 2017


By Fhareza A

Sep 14, 2020


By Tunga L

Jun 13, 2020


By Jyoti S

Apr 21, 2020


By Bidyuta P P

Apr 3, 2020


By Mervat I S

Mar 16, 2020


By Ye M Z

Oct 5, 2019


By Naeema B S

Sep 5, 2019


By Naveen S

Jun 27, 2019


By Nam C S

Oct 16, 2018


By Debra O

Feb 26, 2018


By Manas K K

Dec 31, 2017


By Darija J

Nov 19, 2017


By Debadyuti S

Oct 9, 2017


By Kari J

Apr 19, 2017


By Scott R

Oct 10, 2016


By Deleted A

Oct 20, 2015


By Heliana P

Nov 3, 2020

For someone who has no clue on Data Science it's a great overview and it gives you a sense of the field in general. I have not acquired a deep knowledge on the field, not even on the basics, just a vague summary of what it has to do with. So I suppose the title is fulfilled, as a crash course. However there are some points where I was pretty disappointed. First of all, some of the lecturers always seemed to read a script, which did not help pass down the knowledge at all. They did not give me the sense of what they were talking about and they seemed lost at some points. I had to watch with subtitles (in english) to understand the meaning of their saying. There was a lot of terminology as well... When you give a crash course, it generally means that you address an audience that has little background on the matter. A brief introduction to the terms would be really helpful. In general I think it has good potential for a short course, should the feedback be taken in serious consideration. However thank you for the opportunity.