The first parts were easy but I have difficulty grasping the concepts in Bayes theorem and binomial theorem yet. I think it needs more content and more sample exercises. It could also help to put exercises in between videos for the concept to stick. All in all, the course was very informative and I learned a lot. Thank you!

Overall, good mix of reviewing introductory 1st year university math with some new concepts for myself. Perhaps some of the Week 1 content was a bit too introductory. On the flip side, Week 4 quizzes on Bayes and probability were a nice challenge!

Perhaps some introductory Linear Algebra would have been nice to include too.

Overall it was really good and I remembered a lot of things that I had forgotten. I won't lie - I had a really hard time at module 4 and had to watch more videos on its topics. It was my first time learning specifically about the topics in module 4, so I believe that this is one of the reasons that I found it so difficult.

This course is a great place for those who want to get started learning and also a good refresher for those who have learned Calculus, Discrete Math, and Linear Algebra. Overall the course content is easy to understand except for the Week 4 module. I feel like more example should be given for the problem solving question.

Overall, a great course. Can get a little too basic at times. But, very good for any beginners or intermediate level student/professionals who want to get into Data Science and need a little bit of Math background for it. It is a great "first course" for anyone opting for Data Science or Machine Learning course path.

A good course if you are in need of refreshing your math skills. While the lectures are mostly easy to understand, the questions are often significantly more difficult than the examples given during lectures. That said, it does cover a fair amount of topics that are important for advancing a career in data science.

The first three blocks are really good explained. However, the last block containing probability was not so intuitive and I had to go to other sources to understand some concepts. It should be good to strenghten this last part and add more examples on probability of repeated events with and without replacement.

Good Refresher course. The material is on the easy side so you can finish the class in 1-2 hours. The last part of the class about probability was very good.

If you don't know anything before hand, this would be a good introduction to math topic that you would need to know, but not enough to stand on its own.

This course is excellent for people who want to brush up their math skills and learn math in a way that is useful for data science. The probability videos in the last week can be improved. The first instructor is excellent and overall, a great course! Would recommend for high school freshmen or sophomores!

This is a good review of basic mathematical principles. There were some examples of how the concepts apply to data analysis, but there could have been even more. The explanations were clear and concise. There is not a lot of reinforcement of the material, so I ended up doing some additional study/review.

I enjoyed taking this course during the quarantine period.

Even though the complexity of the arguments was not really high, the professors were really clear and helpful on every aspect.

I highly reccomend this course to those people who want to have a good revision on some important mathematics arguments.

The instructors break down the mathematical concepts into easy-to-understand terms, which helps me in understanding these concepts when I revisit them after 15 years. A minor feedback is if they could expand on the topic of probability as it moved too fast and slightly not as clear as the other topics.

Great crash course. The latter units really ramp up in difficulty and the quiz/tests really made sure I was paying attention. There were a number of inconsistencies early on in the course. Although there were notices posted about them, it was still jarring to see/hear an example that was clearly wrong.

For the most part I enjoyed this class and got quite a bit out of it. I do think there could be more examples shown and maybe even some "homework" given to work through some of the math needed. I did supplement this class with some YouTube videos. Most of those were by "The Organic Chemistry Tutor"

There is a lack of examples in probability lectures. It would be great If you add more examples in probability lectures. In order to pass the test I had to find more additional explanations and examples on the Internet. Generally, the course is well organized and other topics are explained very good.

The course is super good, definitely worth it for a beginner though at the last week it moves at a bit too fast base for a beginner, in general, it's a really good first step and a doorway to better understand and know what are the ways you can get information from data and what can you do with it.

Haven't done this math in 30 years. The general overview and PDF sheet were good. Required use of outside resources to understand units on probability, logarithms, change of base, and rate of growth of continuous processes. Extra time to do outside reading but glad to have learned this material.

Was a very nice intro into the math behind data science. The final chapter, (week 4) was not as well done as the first 3 weeks. The lessons seemed more hastily thrown together and failed to drive home the important sections. Would have been an easy 5 star but the last week was very disappointing.

The Math instructor was great! I loved all his lessons. The engineering instructor teaches this final few weeks. I struggled with his teaching style and his penmanship. But, the topics covered throughout the course are great! The course notes given I also found useful I will hold on to!

Learned lot of new things, I had to sometimes refer to the materials outside the course, but the course provided me with structured learning and helped me to learn the required things, Haven't started any machine learning course, so can't say how much of the course contents are applicable.

Some question has no answer. For example, the log in the test 2 that answer is -80/23. It can't be that because the number inside the log less than 0. There are some errors in the same tests, too, such as the answer 1.304. Furthermore, some question in the fourth test has some confusion.

The weakest coverage was definitely in the 4th week during the coverage of probability. One would be better off using youtube videos or another course as this overview was rushed and felt incomplete. The explanations and examples were just not up the standard set by previous weeks 1-3.

I would love to have much more exercises on each topic so I could practice more! Plus within the final quiz the final task is not clear - I've calculated both probabilities, but I cannot understand what it means - to assess one probability vs the other and get the numbers in answers.

The videos and class materials are great for introducing students to all of these concepts. However, there should be more ways for students to practice things that they have learned in this class. Some of the modules were especially difficult because of the lack of practice problems.

I learned a lot from this course, but the video walkthroughs for the last 2 weeks where hard to understand. I had to find other learning material that gave better explanations. I rate the course at 4 since the topics included are a good start for getting into data science math.