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!!
von Ankur A
•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.
von Bernardino R
•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.
von Preeti A
•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.
von Armine
•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!!!
von Iman S
•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
von Mahyar
•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.
von Subhadip D
•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
von Rahul K
•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.
von Muhammed B K
•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.
von Rajat P T
•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.
von Priti B
•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!
von Adnaeva G S
•Effective way to refresh and add the Data Science math skills! Thanks a lot! Please include integration, algorithm analysis (big O, theta, omega), recursion and induction. Your course is helpful, thank you. If you add those things I've mentioned it would be absolute gold.
von James T
•Everything I've tried diving into in regards to data science after having been out of school for a while (I'm 34) has been stuff I haven't learned or forgot. This course was perfect. Nothing was too difficult for someone who still remembers basic math and I learned a lot.
von Josué R G S M
•Los contenidos son en inglés pero los profesores tienen una perfecta dicción y no hablan rápido de tal modo que los puedes entender perfectamente con sólo un poco de inglés. Los contenidos matemáticos están debidamente dosificados y muy interesantes. Recomiendo el curso
von Aditi D
•Even though I have learnt quite a bit of math in college, my basics weren't very clear. This course helped me clear up my basic doubts which were causing problems. The instructors explain the concepts quite comprehensively using easy-to-understand real-world examples.
von Daryna S
•This is a real good and inspirational start in data science education, especially for people, who have some fear of math (like me:)). This course is enough complicate to learn something new, but simultaneously not too hard, so you dont loose motivation for studying.
von Jeni S
•The course is helpful both as a refresher and a introduction. It made me understood all the basic math skills behind the data science Field. Very good explanation of probability part and so on. I found the week 4 content quite challenging, but got there in the end!
von Isuru P
•I learned all the necessary basic mathematical skills for Data Science through this course. Good explanation from the lecturers. I highly recommend this course for new and intermediate students who are learning Data Science to improve their mathematical knowledge.
von Matthew A D
•I had a really easy time going through the first 3 weeks of the course, but then the 4 weeks were so hard. I got through it, but it was hard. The 1st-3rd weeks were just going through the same things I had learned again, but the 4th week was almost completely new.
von Richard B
•I think this course helped me identify certain areas of weakness within my education that I have already received. As a result, I know where to start in order to shore up the gaps that formal education has solidified. Overall it is a great introductory course.
von Baijnath G
•Cleared my concepts through this course .I had some basic knowledge regarding this modules so it was not hard for me to complete it.
The way tutors explained was commendable!!
I would love to suggest my fellow to enroll in this course to brush up their skills.
von Osama B A
•Thank you, Coursera for this course for free. It was really helpful. It covers almost all the basic math term for Data Science. Looking now for intermediate level course of the same. Hopin that very soon, I will be gifted with a new free course. Thanks again.
von Amit T
•Something good to learn and in fact the session are so precise to understand that you don't need anyone's help at all to learn thing. Just go through the video lectures. It's that simple. Thank you Coursera for this wonderful journey and amazing sessions.
von Jackie C
•First three weeks were mostly review, but the fourth week was incredibly helpful. Would appreciate some more background/derivation of the binomial theorem - it was hard for me to develop an intuition for it in the same way I could for the Bayesian theorem.
von Val
•Clear and straightforward introduction to the key mathematical concepts that underpin statistics and data science. Video companions and practice quizzes complement the lectures in an effective way and prepare the student well for the graded quizzes.