22. Sep. 2020
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!
16. Mai 2020
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)
von Phyllicia A M B•
19. Juni 2020
The lectures are very short and simple. Sometimes the explanations are not explained thoroughly. Students without background on the subject will find it difficult to apply the concepts in actual problems like in the quizzes. I hope you can improve your content, discussions, and quizzes so students without background in advance math can enjoy your course. Thank you!
von Sina P•
18. Mai 2021
The course was useful and well designed. Trainees can achieve a noticeable background of data science and gain a good vision about what data science is. However, It would make the course more comprehensive if the trainers provide some real life example questions especially when talking about the mathematical rules and formulas during the course.
von Brannon C•
11. Mai 2020
Helpful overview and review if it’s been a while since you taken stats and probability. But really needs more practice problems with explanations to practice through the workflow on the last two weeks. The formulas and calculations get pretty intense. They have printable handouts that go with all videos that were very helpful.
von Raymond S•
21. Sep. 2019
Keep in mind that this is meant to be an introduction to some of the math topics used in data science, it is not a comprehensive course. The course needs to include worksheets with practice problems for the students to practice. The instructors do not use enough real-world examples to demonstrate how the theory is applied.
von ACHRAF T•
25. Apr. 2020
je pense qu'il manque quelque définitions ,par exemple , pour dire que la probabilité d'un événement est égal à la somme de probabilités d'intersections de cet événement avec d'autres ,mais en fait on peut dire cela sauf si les autres événements forment un système complet d'événements. mais en général ça reste utile .
von SAYAN B•
18. Apr. 2020
The course videos for the topics for Week 3 and 4 are not well explained. Even some of the questions in the quiz are not written in proper format. Please look into this and make changes to the course. Otherwise the syllabus of the course is well designed and the probability questions are of quite high standard!
von Jeffrey A B•
22. Juni 2019
Felt like the first 3 weeks were pretty good but the probability section needs a lot more detailed explanations and examples to make the information clear. For those that are already OK with this subject, it's probably fine but for those that haven't had much background in probability, this part was lacking.
von Jennifer H•
11. Juli 2021
The math went from extremely easy in weeks 1-3, to very challenging (with insufficient explanations) in week 4. I watched the videos from weeks 1-3 on 1.5x speed, but even going back to normal speed for week 4 was not enough. I had to find external resources to provide additional explanations for week 4.
von Scott M•
16. Aug. 2020
The first half was planned and organized. The second half seemed haphazard. Examples were a little hard to follow. Quizzes were fine and seemed to test the material presented. I have only taken three other courses (4 total) and this one seemed a little rushed and the second half was created on a whim.
von Danilo C•
17. Jan. 2018
First 2 weeks of the course is amazing, very good didactics. The second teacher does not use very good examples, and the thing starts to fill like old math classes, but overall is good. I will need to redo the last 2 weeks because i fill that I will not remember most of it so easy as the first 2 weeks.
von Saurabh K•
27. Mai 2018
Good for high level understanding of few of the concepts. But last week 4 tutorials are covered at very high level , it was quite difficult to understand probability topic without referring to other online tutorials. I wish more examples could be given in the tutorials to strengthen understanding.
von Margaret S•
25. Juli 2017
The class is good. However, the second half of the class zips through concepts that need a lot more explanation than is provided. Moreover this class would benefit from an optional tutorial on how to input factorials into a calculator as the answers on the exam go to the 8th decimal place.
von Glory J•
6. Juni 2021
The course was okay. Some fundamentals like logarithms was clear to me. However, they did not do a very good job in explaining the probability section like Bayes' conditional probability and binomial theorem in a clear and concise way like it was done with the other topics
von Nicolás M•
3. Mai 2021
While it is a good course overall, and the first three modules are excellent, the final module on probability has poor explanations. To understand and complete this module I had to review other sites and come back, following recommendations from many other students.
von Elizabeth C•
14. Jan. 2021
Didn't like it. It helped me cover some of the concepts I have to know as an aspiring data scientist and the problems are good though tricky, but the explanations were confusing. I often find myself watching Khan Academy videos then coming back to do the questions.
von Aasiya S•
28. Juli 2021
The course could have been better, since majority concepts were not explained elaborately especially module 4. Will not recommend if you really want to learn something. Tests and assignments were good as they were not direct questions but based on application.
von Taruna J•
6. Aug. 2020
Some concepts have been explained beautifully, which made things easier to understand. Some concepts (probability) I earlier understood so very well, but now I am confused with the teachings from this course. I don't really like how it has been explained.
von Nitikorn S•
22. Mai 2020
The first half is really well explained. However, the second part could be improved with a more detailed explanation rather than introducing the equation and jump straight to the problem. Also, I think the quizzes in the latter part are (too) difficult.
von KRISHNAMURTHI R•
22. Mai 2020
Concepts are not clearly explained in the video sessions. I had to seek some other you tube videos to get the concepts with clarity . Some of the Practice quiz feedback are not fully explanatory and required more outside reference to clear the doubts .
von Sahar A•
31. Dez. 2020
It was a good review for me. However, I expected the course curriculum to be more advanced, considering the course title. It was mostly some basics. But good if you want to have a review on some probability subjects that you may have forgotten.
8. Nov. 2019
You guys need to give better practice examples and scenarios in Weeks 3 and 4. That being said, I think the courses you presented give a nice foundation. I'm going to practice on my own time finding problems of the subjects you've spoken about.
von Gregory B•
5. Mai 2020
The course has issues later on - there is inconsistent notation, no provided worksheets, formula sheets, documentation, or summaries of any kind. At first this isn't a problem when the course is simple but is much more problematic later on.
von Saeed M•
2. Sep. 2020
As a whole: very useful review of the themes.
Quite a few Latex statements spread around the quizes.
Probability could be explained a bit more thoroughly. I had to look up external sources to get a better grasp of the subject matter.
von Andre G•
13. Jan. 2021
Sometimes a little bit confusing due to the handwritings. In addition I would not expect a wrong statements/mistake in 10 minute video, sure the corrections are fine, but I would recommend to record the video again without any mistakes.
11. Okt. 2020
Challenging module which lacks the practical application needed to feel confident going into quizzes. I found working through the quizzes themselves more valuable than the reading material. Plan to watch, rewatch, and take good notes.