AP
Jun 15, 2019
Very clear and articulate explanation of the concepts. He doesn't skip a step in the sequencing ideas, drawing comparisons and differences, and illustrating both visually and story-telling. Excellent.
NC
Jul 30, 2019
Very nice course for beginner, the mathematic level is not high (around french baccalaureat) so available to everyone. I enjoyed a lot this course that show how simple math can be used in real life.
By Sajjad H S
•Jun 24, 2020
Good course.
By Divyam A
•Apr 12, 2020
Basic Course
By Hongbo Q
•Jul 12, 2018
有一点简单,很基础的课程
By Shivani J
•Dec 4, 2016
great course
By nicholas m
•Oct 11, 2016
Great course
By Deleted A
•May 28, 2019
really good
By Alex B
•May 25, 2016
Good review
By Narek
•Mar 20, 2016
Good course
By Daniel P d R E
•Jul 16, 2020
Too simple
By Quantum P
•Nov 3, 2019
Too simple
By Sagar A
•Apr 26, 2018
too simple
By Ishan A
•Sep 11, 2018
excellent
By Wenwen B
•Apr 28, 2020
Not bad
By Luis E H A
•Mar 9, 2017
Great
By Sylvia S
•Sep 18, 2020
good
By Shrenik V Z
•Jan 8, 2018
Good
By Nikita R
•Oct 29, 2021
NA
By pravar n
•Jul 18, 2022
.
By mahee r
•Aug 27, 2017
V
By Lindaa g
•Jul 24, 2017
g
By John C
•Apr 30, 2018
I liked Professor Waterman; he is clear, gives examples, and doesn't just drone over the slides like my statistics professor did in college. However, the course itself felt a little too simplified. For example, when I arrived at the topic of multiple regression, concepts like collinearity and omitted variable bias, which are crucial to understand the fitness of your model, were not mentioned. This was a bit concerning because most business operations, I would assume, have multiple variables in play and would seem more practical to have a more in-depth focus on models reflecting that characteristic.
By Erik B
•Jun 2, 2016
The materials in this course were great, but some of the math was not properly explained enough for the individuals to be able to see how the formulas were derived - especially some of the basic calculus and the regression materials. I believe it would have only added 5-10 more minutes in one or two modules to do so since there were so few examples given (This could be covered in subsequent courses within the specialization - I am not sure yet as I will be taking course #2 in the specialization starting next week). Otherwise, this course was a great overview of the types of models used.
By Ken O
•Dec 20, 2017
Content
This is essentially a statistics course couched in business terms, with a smattering of finance. The term quantitative modelling' is just how 'stats' has been 'rebranded' in the modern era. That is not a criticism from my point of view, but worth mentioning.
Difficulty level
Ultra-challenging for non-mathematician 'analysts'. The material is also structured sub-optimally. More cohesion would aid understanding. But the course is often rivetting and informative in ways that other groundings in stats fail to be, in my experience.
Conclusion
Difficult, but well worth the effort.
By richard l
•Dec 2, 2022
The concepts were concise and comprehensive. As someone with a Math degree I personally felt all the quizzes were easy. The course would probably be a good review for those who would like to be re-introduced to the topics again and encourage further reading. However, I felt that if I was someone that did not know these concepts prior to this course, I would probably be totally lost. The explanations were not in-depth enough and I felt like they needed more calculations and examples.
By Jose G
•Aug 21, 2017
The content as dry as it is was well presented. No problems there just be sure to have a good night sleep lest you find nodding in the middle of a module.
The reason for the three starts is a knock on Coursera for not letting me submit my last quiz on the last day of my paid subscription. I finished the content at 10:00 CST but I was not allowed to submit my last quiz. I had to pay for the next course in the certificate to get the completion certificate.