RS
May 5, 2020
This was mostly review for me though probability especially Beyes Theorem derivation was new. The instructors provided clear often refreshing ways to look at material.
Thank you for a great class!!
AS
Jan 11, 2019
Effective way to refresh and add the Data Science math skills! Thanks a lot! At the time of the study some of the quizzes content were not rendering correctly on mobile devices (both iPad and Android)
By トランぺ
•May 21, 2020
Maybe a little easy for the real task, I will try another harder class, but thanks for giving me the chance to learn.
By Greg L
•Apr 18, 2018
no discussion or ongoing grade at least in the beta course. Generally pretty good, a little slow and simple to start
By WANG T
•Feb 10, 2018
Clear structure and typical case were applied in this course. However, hope the course material could be more detail.
By Jake r
•Apr 25, 2020
Good course for people who have been out of school for a long time and looking to understand some math fundamentals.
By Rashi S
•Apr 4, 2020
The course was helpful to enhance some forgotten mathematical concepts, especially probability and its applications.
By Nguyen T T
•Dec 31, 2017
The course is helpful both as a refresher and a introduction, although i would like to have more practice exercises.
By ABHISHEK B
•Jul 16, 2020
Good one .Content creator focuses nicely on basic maths which is required further for understanding complex topics.
By Matthew O
•Feb 8, 2023
Good course with great explanations, just too many mistakes early on in the course disrupted the flow of learning.
By Ramsi D
•Apr 5, 2022
Probability course was very challenging. It might need more explanations and applications to understand it better.
By Samata L
•Jul 9, 2020
Some lectures were not that interesting but the video companions are so well and the quizzes are very interesting.
By Rajeshkumar P
•Apr 10, 2020
Week 4 problems are so chalenging, Give some more reading refernce, practice reference, need more practice on tht
By Osama S
•Sep 22, 2021
second lecturer for the Bayes Theorem and Bionomial Theorem was not as easy to understand as the first professor.
By Atif I
•Mar 29, 2021
A little more elaboration and practice with examples may be given for probability, binomial and bayesian theorem.
By Ricardo M
•Mar 20, 2020
Would be great to have a chapter dedicated to relating the concepts learned with typical data science activities.
By Ashish T
•Dec 30, 2020
its a good course for data science student. This course help you to build your mathematics base on data science.
By laura m
•Aug 6, 2020
Pretty basic until the last module.
It has been very useful to remember a some maths that studied a long time ago
By CHRISTO F
•May 27, 2020
THE QUIZZES WERE AMAZING. IT CHALLENGED ME SO MUCH. BUT AT THE END I COULD GET BETTER AT MY ANALYTICAL THINKING.
By Alvaro S
•Apr 18, 2020
I liked the explanations, there are some errors that are corrected as comments that chould've been easily fixed.
By sam s
•Nov 11, 2020
Would have been good to have seen examples of how each math discipline works when integrated with Data Science.
By VRAJ B
•Apr 20, 2020
Extremely help ful for the beginner in data science
thank you coursera, Duke university and both the professors
By Andreas
•Mar 10, 2021
good explanation of principles with examples, could have more optional example videos for deeper understanding
By Lester H
•Jan 29, 2021
The text material associated with the instructional videos is very helpful in grasping the concepts presented.
By Jaison A
•Mar 21, 2017
Material was well presented. Exercises could have been more involved; likely would have enhanced the learning.
By Lin L
•Nov 6, 2022
The probability section needed more worked examples.
Translating word problems into equations is a hard skill
By J. A H
•Sep 7, 2020
Really enjoyable course that taught me how much I still need to learn to truly understand probability theory.