This course syllabus is great. It starts wonderfully. Week 1 to 4 is taught by Paul Bendich, and Daniel Egger the instruction is awesome. Effective way to refresh and add the Data Science math skills!
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.\n\nThank you for a great class!!
By MONALISA P•
One more week on Probability could have been better. Probabilty week felt a little rushed. Rest was awesome. Thank you.
By Zhe X•
Good introduction course. It will be better if more contents and examples for calculus and probalility can be provided.
By Andrew C•
Quality instruction with clear explanation of concepts and relevant practice/test modules to check your understanding.
By Yufei W•
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•
no discussion or ongoing grade at least in the beta course. Generally pretty good, a little slow and simple to start
By WANG T•
Clear structure and typical case were applied in this course. However, hope the course material could be more detail.
By Jake R•
Good course for people who have been out of school for a long time and looking to understand some math fundamentals.
By Rashi S•
The course was helpful to enhance some forgotten mathematical concepts, especially probability and its applications.
By Nguyen T T•
The course is helpful both as a refresher and a introduction, although i would like to have more practice exercises.
By ABHISHEK B•
Good one .Content creator focuses nicely on basic maths which is required further for understanding complex topics.
By Samata L•
Some lectures were not that interesting but the video companions are so well and the quizzes are very interesting.
By Rajeshkumar P•
Week 4 problems are so chalenging, Give some more reading refernce, practice reference, need more practice on tht
By Atif I•
A little more elaboration and practice with examples may be given for probability, binomial and bayesian theorem.
By Ricardo M•
Would be great to have a chapter dedicated to relating the concepts learned with typical data science activities.
By Ashish T•
its a good course for data science student. This course help you to build your mathematics base on data science.
By Laura M d A M•
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•
THE QUIZZES WERE AMAZING. IT CHALLENGED ME SO MUCH. BUT AT THE END I COULD GET BETTER AT MY ANALYTICAL THINKING.
By Alvaro S•
I liked the explanations, there are some errors that are corrected as comments that chould've been easily fixed.
By sam s•
Would have been good to have seen examples of how each math discipline works when integrated with Data Science.
By VRAJ B•
Extremely help ful for the beginner in data science
thank you coursera, Duke university and both the professors
good explanation of principles with examples, could have more optional example videos for deeper understanding
By Lester H•
The text material associated with the instructional videos is very helpful in grasping the concepts presented.
By Jaison A•
Material was well presented. Exercises could have been more involved; likely would have enhanced the learning.
By J. A H•
Really enjoyable course that taught me how much I still need to learn to truly understand probability theory.
By Aman G•
The course is well structured and good for the newbies and the ones who are not from mathematics background.