Jan 12, 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)
Jul 23, 2017
This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.
創建者 A
•Nov 12, 2017
good
創建者 Insan N
•Oct 30, 2017
Nice
創建者 ABDELMENEM S E
•Mar 04, 2018
t
創建者 Wut H H H
•Apr 06, 2017

創建者 Dejan Đ
•Oct 11, 2017
As it is now, the course is a much better resource for reviewing the material (which was fine for me as it was what I was trying to do) than for learning it first time. It would be much better if it had more of the same, which is why I am giving it 4 stars instead of 5. In my opinion, it is too brief; I hope to see a part 2 expanding on the material provided here. Many of the topics mentioned, and they really were mentioned more than really taught, should have been talked about in more detail. I've completed the whole course in about 46 hours over 2.5 days. It is a good attempt, but it is hardly a sufficient preparation for the field of Data Science; students looking to take the course should be aware of this.
TLDR: A nice and brief overview of many important concepts (sadly, missing linear algebra) which lay the mathematical foundation for getting into Data Science. Needs to be expanded upon.
創建者 Isaac M
•Jan 15, 2018
This course was very challenging for me (I'm a musician). I wanted to review the concepts presented in this course to get back on track with my math skills. It was fun, but required me so much time to understand what is what and how to apply it to problem solving. Take this course if you are into Data Science or if you are a programmer who wants to plot data for any given purposes. If you are a musician, well... It will refresh your memory and maybe it will also have an impact on your music : p
創建者 Alexander D K
•Aug 03, 2019
Very useful indeed. The ressources have a good format but could be more grouped. The videos have good content but should be a bit more curated as they contain quite a few small but confusing errors. The task are very well selected but do not cover every topic to the same amount. I would also wish for a finals test that integrates many of the newly acquired skills, rather than have them isolated.
創建者 Colin P
•Mar 28, 2018
Good refresher course on introductory math concepts relevant to data science (I hope!). The probability modules were a little light for me, given how deep probability is. I think more time/instruction could of been spent on this subject. Overall, this is a good course if you want a refresh on math concepts, or to firm up some learning gaps before taking more math courses.
創建者 Katya K
•Nov 11, 2019
the first few lectures, first half is really easy to follow, quizzes are a great way of firming up the new knowledge. Last few lectures are very challenging comparing to the beginning of the course, and I felt that some have missed key steps unexplained. The final quiz doesn't provide feedback which makes it useless as a way to recapitulate and practice.
創建者 Ashray M
•Mar 30, 2017
Refreshing your Basics
The whole course is a just brushing up your basic math. The videos are brief and to the point, and problems make you use your brains and they are not right out of the video or any other reading material. I feel only Bayes and binomial theorem videos are not comprehensive and the problems a quite challenging.
創建者 肖霁航
•Sep 18, 2019
All skills taught in this course are prileminary are preliminary and essentially. In my pont of view, anyone who get familiar with probabilitis and statistics in high shcool chould pass this course easily. Though its content is easy, it's still a good course that anyone can review key points and take some practices in class.
創建者 Trong T L
•May 03, 2019
Good Refresher course. The material is on the easy side so you can finish the class in 12 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.
創建者 Megan R
•Jan 07, 2018
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.
創建者 Edward I
•May 29, 2019
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.
創建者 Sudha S
•Jul 11, 2017
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 thenI was able to pass exams in week 4 of this course.
創建者 Adam M
•Sep 17, 2017
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!
創建者 David M
•Sep 08, 2019
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 13.
創建者 Matthew R R W
•May 27, 2018
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.
創建者 Abhishek P B
•Jan 19, 2018
Great fun brushing up all those basic skills! The quizzes were challenging. Additional reading resources might be helpful. Some later videos need a bit more explaining I guess. It might also be helpful to speed up the videos while the instructors are writing things down.
創建者 Chadrick A E
•Feb 05, 2018
Is a great course for the most part. However, as it gets toward the more complicated concepts there are expanding holes in the explanations and the homework. Students enrolling in this course need to be ready to teach themselves more as the material progresses.
創建者 Michael N
•May 21, 2017
Although I previously studied these things I have long forgotten them or they WAY I was taught them previously was incompatible with Data Science in general. Do this course first if you want to start data science and your maths needs some work.
創建者 Suyog B
•Oct 16, 2017
Course is simple yet difficult. It explains most of the concepts in simple way but the assignments are pretty hard to solve :) overall makes perfect foundation and provide necessary skills for data Science. More focus on derivatives will help.
創建者 GJ
•Nov 10, 2018
I leaned a lot especially in probability. But I had to search around various other resources before I got the hang of Bayes theorem. Also a tree diagram approach to both conditional and Bayes theorem will help get to the understanding faster.
創建者 Jorge F P
•Oct 10, 2017
Great introduction to mathematical analysis and probability. I took it to refresh the concepts I had learned some years ago and it met my expectations. The quizzes, particularly the ones in weeks 3 and 4, are quite challenging.
創建者 Philippe
•Feb 27, 2018
The content of the course as a whole is interesting as a good synthesis of basic skills, even though the content of the weeks 3 and 4 lacks of clarity compared to the content of the weeks 1 and 2.