Learner Reviews & Feedback for A Crash Course in Data Science by Johns Hopkins University
About the Course
(76 Reviews)
(48 Reviews)
Top reviews
PD
Sep 8, 2020
It is a nice, short introduction to what data science actually means. Very helpful for anyone taking their first steps in the field. Personally, this was just what I was looking for.
KM
Oct 22, 2016
This was really a crash course in various aspects of data science, with words being thrown around and defined for a lay person like myself. Overall, this was a good course for beginners.
1101 - 1125 of 1,535 Reviews for A Crash Course in Data Science
By Nuno P
•Aug 18, 2020
Good high level Data Science course which may take not much of a couple of hours to acquire and recall Data Science concepts.
By Paul M
•Mar 26, 2018
I probably needed a bit more background in data science before taking this course, but it was easy to follow all the same.
By Minh-Ly N
•May 17, 2020
This is a systematic course to introduce Data Science to complete beginners. This provides great information and insight.
By Weihua W
•Dec 30, 2015
Advises are really good. The course charges too much! A one week course should set a reasonable price, for instance, $19.
By Mohammad S R
•Sep 13, 2017
An engaging course for beginners who need to answer the important question i.e. Is Data Science a field of my interest ?
By Anders R K
•Oct 24, 2015
I really liked it. Some of tje jargon was a bit technical though. But overall really appriated the opportunity yo learn,
By James M
•Nov 9, 2020
Test questions seem haphazard and do not appear to be validated. It feels like they are written by a bad AI algorithm.
By Ajayeswar R
•Jan 16, 2019
this course is not-technical as I was hoping for.This is an overview.But it was presented very beautifully.
Thank you
By Lai Y W @ L Y W
•Aug 13, 2020
Easy and straight to the point undamental basic information for non data science background executive. Good course!
By HUIYAN Z
•Dec 18, 2016
Very basic introduction to data science. The class is well-organized and suitable for new learners of data science.
By Stanisław R
•Sep 6, 2018
I would call it Overview of Data Science. It puts Data Science in perspective of other fields, but is too shallow.
By Alan M F
•May 9, 2020
Good overview of Data Science. Very broad but a good starting point for someone with some statistical background.
By Willzhang
•Dec 4, 2019
An overview of Data science, great guidance to a new skill and methodolegy. My first finished course in coursera.
By Alvaro M
•Aug 6, 2018
Fair overview of the goals, differences, pitfalls, roles and processes involved in deliverying analytic services.
By Anuradha A
•Feb 10, 2020
Helps learn about Data Science objectives, process, structure, toolbox and hype in short with real-life examples
By Paolo P
•Aug 24, 2017
As good as it possibly can be for such a very short, high-level course. It can be completed in just a few hours.
By Gabriela E L M
•May 5, 2017
Goes to the point, warns about thinking wrong about DS because of hype and lack of (scientific) sustainability.
By harsha n
•Oct 4, 2016
Good intro to data science and has given overall information what a data scientist actually do in a high level.
By Engr. M M H
•Aug 5, 2020
All the lessons are interesting and enjoyable, some are just excellent. Thanks Johns Hopkins, Thanks Coursera.
By Mike B
•Oct 6, 2017
Good overview, could go into more depth at least for those with even a bit of a background in data / analytics
By Manoj G
•Jul 7, 2018
This is the great course where I do able to understand the basics of Data Science and what it all dealt with.
By Jose F V
•Jul 2, 2018
Content was super high level. Deeper content will do (more examples, pages, exercises or real life practice).
By Michel G
•Dec 26, 2018
Knowledgeable professors. Had to spend some extra time researching some of the terms not covered in course.
By Andrew E
•Jul 4, 2017
It is what it is: a crash course. Good to immerse in before committing to longer and more expensive courses.
By Rui R
•Jun 5, 2017
Not dificult, but can be improved !
In terms of time, it is not time consuming. Better to whom has less time.