(76개의 검토)
(48개의 검토)
SJ
2017년 9월 9일
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.
MD
2016년 8월 27일
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!
교육 기관: Mario A
•2015년 12월 6일
An excellent summary of What data science is with great links, topics and books to go deeper into this industry. Thank you.
교육 기관: Chandan K B
•2016년 2월 19일
A clear and concise training of Data science. One example of Data science project would help to understand better. Thanks.
교육 기관: Namira F
•2020년 5월 6일
The course is fruitful and easy to understand even by people with no experience of learning statistics and data analysis
교육 기관: Mariana P
•2019년 9월 24일
Great way to get a sense of what data science really is. I really liked that they included the hype vs real data science
교육 기관: Evangelos T
•2017년 8월 22일
Great introductory course, probably most relevant for people with little or no background at statistics or data science.
교육 기관: Yvonne O
•2018년 6월 13일
Great course, explained the concepts very clearly with great practical examples. Presenters very engaging and obviously
교육 기관: Leonid K
•2020년 12월 28일
Good for the time it requires. Nice into into what Data Science is. Crash Course is a bit of an overstatement, though.
교육 기관: Jill M W
•2017년 6월 4일
I really enjoyed the class because I was looking to learn the concept of data science and not how to do data science!
교육 기관: Adrien C
•2017년 1월 25일
Great and straight-to-the-point introduction course for getting started with Data Science projects KSFs and pitfalls.
교육 기관: Poul H N
•2018년 1월 27일
Super intro especially for one who doesn't do data science daily but works in a world of many data and data sources.
교육 기관: Juhi J
•2016년 2월 15일
Thank you all professors of John Hopkins, for excellent explanations and relevant examples to help improve learning.
교육 기관: Rodrigo A R B
•2020년 11월 19일
Excelente curso de Introducción a Data Science, muy fácil de comprender, excelente metodología, para el aprendizaje
교육 기관: Amaury B
•2020년 8월 4일
Excellent course, it gives all the introductory information so everybody can understand the basics of Data Science.
교육 기관: Sylvia M
•2017년 6월 4일
Very helpful introduction to Data Science. I am looking forward to the other classes in the certification program.
교육 기관: Heera G
•2016년 8월 17일
Indeed a crash course. Gives an excellent overview of key concepts in Data Science and whets your appetite for more
교육 기관: Mon d V (
•2021년 11월 5일
Good higher level overview of things Data Science, I think it does set you up for the next more in depth courses.
교육 기관: Alexander I F
•2018년 8월 21일
Great overview about data science for non-technical professionals like Product Managers, Designer and Executives.
교육 기관: Gloria L
•2020년 1월 5일
Excellent introduction. I look forward to the following courses and checking out some of the suggested reading.
교육 기관: Fatih Y
•2018년 12월 14일
Some of the quiz questions could be clearer. Other than that, I have learnt a lot
I had great fun..
Thank you.
교육 기관: mikkel B M
•2016년 9월 12일
Quick and fairly easy course to complete. Gives you good and short insight into what data science is all about.
교육 기관: Bradley H
•2018년 8월 1일
Well presented, easy to understand and useful to understand application of data science to business use cases.
교육 기관: PRALOY K G
•2017년 7월 11일
Well documented and organised course which throws light on most aspects of knowing about Data Science projects
교육 기관: Balasubramanian
•2017년 2월 1일
truly Informative course. Well thought about the syllabus. This is very useful for doctorate students as well!
교육 기관: Aedrian A
•2021년 1월 13일
This short course is a great primer to both data science and the Coursera Specialization to which it belongs.
교육 기관: Ajay S
•2020년 9월 9일
Really enjoyed. A basic course to know what and how the data scientist actually do. How this work in and out.