It was hard, and needed more examples but it was easier to finish it. The professors English was very easy to understand for non-native speaker like myself. I finally, finally understood log and Sigma. All those things I have avoided in my 15 years of IT industry career. I thank Duke University so much for teaching such a wonderful course!

This is a very good course for those who have forgotten about their math skills and are new to data science. The first few weeks will cover basic math which you can skim through if you are good in math. This course also introduces you to statistics in particular Bayes' theorem which is an important topic of data science. Enjoy the course!

First of all thanks to the data science math skill because i learned many new things,ideas,knowledge and skills from this course and more thankful to professors because of them i am able to give all the answers and it was too much interesting to do .

Thanks to all the teams of coursera as well as to the data science math skill......

Hello to everyone on Coursera I just finished this course and I definitely learned a lot! I learned all of these back in high school but after a few years of not studying math, I forgot most parts. The course is well structured and is explained in a simple and easy to understand manner. and The video companions help a lot. Thanks

If you are a right-brainer and/or rusty on math, I strongly recommend this course as a precursor to Duke's Intro to Probability and Data course. Some of the practice and final quiz questions really threw me (and that's good)... Most of them I was able to rethink and derive the correct answer and a few others remain a mystery... :-)

I loved this class, the only one of it's kind and much needed, unless you particularly want to re-do your long forgotten high school and college math. It was nice seeing a Venn diagram again. I did have to supplement some of the material that was covered quickly with google searches, but filling in the blanks was quick and easy.

It is a thoughtful and well-designed course. I really enjoyed learning the core math skills related to data science. As a starter on data science as a field of study and career, the course refreshed my previous knowledge and helped me learn more about the mathematical skills needed for learning and practicing data science.

Fantastic course for those looking to acquire the skills they may not have had in school, or for those of us brushing back up on the basics. The instructor videos were thorough and plain (no silly metaphors bogging down the info). They speak at a pace in which you can bump the speed up to 2x and still comprehend clearly.

Hi. A very good refresher course that serves as a pre-requisite to Machine Learning and Data Science courses. Probability could have been a little better explained, specially the processes and event part. I would also like to see Vectors and Matrices added to this course, which is equally vital for Data Science.

This course provided clear, expert teaching at a very good pace. The materials were very helpful & directly applicable. The videos were well portioned, and the professors are well spoken & highly competent. I highly recommend Coursera, these professors & this course. I plan on pursuing more in this subject.

Everything was going fine for me until I got to the statistics portion. This is something I've struggled with before, so I can't blame the course for struggling again here, but I would have preferred more learning content for week 4, perhaps even splitting it into 2 weeks to make it a 5 week course in total.

Learning this course I have gain many new and interesting skills. I am very much glad to get the knowledge from two professors and they gives me more knowledge on those interesting courses. I was able to do the answers of the given courses.And I THANKS them to give me such opportunity to do these courses.

Enjoyed the first 3 weeks quite a bit. The probability lectures were not as strong as lectures in Weeks 1 through 3, however. I took the Intuitive Probability course offered by Zurich University to really learn probability well and only then I was able to pass exams in week 4 of this course.

Everything was great except probability theory. The videos were hard to follow and understand because everything was a kind of mess. Reading materials would be much better for probability section. Overall it was very helpful for me and I am very grateful for this wonderful course!!!

The course is completely related to prerequisite data science skills. There are lots of useful materials. However, the last module (probability) is kind of introduction and superficial, and do not discuss probabilities concepts and distributions in depth.

In general, the course is Great

Fue un curso muy útil para retomar los temas de funciones y probabilidad, a mi me costó más comprender los temas de la semana 4, por lo que recomiendo busquen otros ejemplos para seguir practicando. La gran ventaja es que puedes consultar los materiales tantas veces como lo necesites.

Good course because it focuses on basic statistical science needed in Data Science. Only issue I had with this course was it was pretty short. Shorter than I thought by looking at the syllabus. Also the agenda is very simple in the first couple of weeks until it gets to the last week.

Would have been better if real-time tool were used such as PTC Math-cad or Mathworks Matlab then the Simulation based learning approach could have been much better. Well this course has vas potential and can be be released as series with capstone simulation project. I loved it though

very nice, this course helps me a lot for a basic understanding of the different concept of math. The course is also design in very well manner for understanding each and every concept clearly.i also very thankful to the teacher association who created this course for helping me.

Great course for starters. For first three weeks there can be some advanced examples as extras and for the last week, it would be better if several complex examples solved by instructors since Bayes and Conditional probability can be confusing sometimes. Thanks for the course.

The course explained all the basic mathematical concepts really well, especially Bayes' theorem and probability theory.The best thing that I liked about this course is that it also explained some simple real world test scenarios where these mathematical concepts can be used.

I came for this course after working on data science for sometime. While initial 2 weeks were easy and known, last 2 weeks were really helpful. My probability concepts become much clearer after going through the lecture and tests. Very precise and clear course. Thanks a lot!

Thank you for your work and for free access to the course. It was very helpful for my university Machine Learning course. After completing the course I want to notice the following: - course is siutable almost for evevryone - highly qualified teachers - good visual support

Thank you so much professors Paul Bendich and Daniel Egger for this amazing course. It really covers all the fundamental aspects required in data science. I needed this course to be ready for my Masters in Data Science starting next month. Thanks again and have a good one.

As a fellow educator found this course to be very helpful. Could like to see an area, and maybe I just didn't look hard enough for it that had some more practice problems to hone some of these skills. Especially the probablity towards the end with Bayes Thrm.

Thank you