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!!
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)
By Binoy K P•
T%his course is purely basic.
By adapa m•
good course but expected more
By Aydar A•
too superficial to be usefull
By Prasad K•
1st 2 weeks were very basic.
By Vijay G•
Great mathematical analysis
By Snigdha G•
Can I get a Certificate?
By Hugh J•
Needs more statistics
By Elvin G•
It is too low level
By Korkrid A•
Good for beginners.
By Vikas G•
By PARDESHI R H•
Very useful course
By Shanmuga P•
By MUTHU A P S•
By ChiangSheng L•
Actually the lessons from first three weeks are really basic (junior to senior high level), and sometimes I can't find any strong relationship with data science. And the fourth week is about probability theorem including the marginal/joint probability and bayesian theory without introducing other fundamental concepts, which could make the student quite confused sometimes.
There are several typos by the first teacher, which most are all corrected but quite disturbing. And the handwriting of the second professor is sometimes sloppy. I'd rather check the "video companion" before taking the class. BTW, they are really good and concise to summarize the concept and understand what the professors are talking about.
About the quiz/exam, most are good with explanations. But a lot of question require electronic calculator. Some question do not provide basic value of number like log(2) or which is quite annoying.
It's not good as imagine, but it does not take much time to finish.
By Carolin K S•
This class fails to give a single explanation as to how the math skills will apply to data science. The first three weeks are a nice basic explanation of some of the math that will be needed. If you haven't done coding before or have some background in coding, you will have no idea where this class is going to be applied. The fourth week is the worst explanation of probability you can imagine -- opaque derivations and almost no explanations. I do not recommend this class as it fails to address the "why" of the title -- how does math apply to data science.
By Dennis F•
i passed all quizzes and exams at 100% most of them in one try.
presentations were a bit sloppy, and often i found i understood the concepts, but not how they were presented.
I did learn things from the course, but the experience could have been a lot better
especially week 4 was problematic, the bayesian probability and inverse probability was hard to understand from the videos or the notes alone, or in combination.
notes for one of the video had only notes for about the first half of the video, so no notes for the rest.
By Mike S•
The content is OK; the execution isn't quite ready. Most is fairly basic, but is necessary and potentially a good review. But the course comes across like a first draft. Mistakes in videos are not re-recorded, but called out with a disclaimer. I believe there are two errors in answers to practices and quizzes, but it's possibly my own mistake on one. I noticed one instance where the correct answer is in a different font than incorrect answers. Overall, OK content but not very polished. It could use a second revision.
By Borja C•
The first 3 weeks are quite good... but then it makes a gigantic leap on the 4th week. Please update the explanations on Bayes and the examples... they are not optimal. Judging from the comments I have seen, I am not the only one.
Thinking about it, I think maybe it would be worth to spend more time with probability and a bit less with the other stuff or even add another week... definitely probability in one week is a far shot... and it is key to understand data science correctly
By Helene H•
A pretty good course even if week 3 and 4 are very difficult for beginners.
A few improvements are urgently needed:
-There are mistakes in the quizzes, which mistakes have been pointed out by generations of students for months/years in the forums, but have never been corrected. Such a disgrace and waste of student time!
-Also using Chrome makes you unable to read the formulas, which should be said in the course outset.
By Deepak R•
At week 4 the course was covered in a rush. This course could have been much better if the instructor could have taken the time out and walked the extra mile to simplify the concepts for a larger audience. I already had previous rigorous treatment of Probability theory hence didn't face many challenges. But I have empathy with students enrolling in this course who don't have prior probability background.
By Yury K•
Course has misleading title. It has no strong connection to data science problems or examples from the field (except confussion matrix). First 3 weeks are simple math. Third one is very brief tour to probability with quite brief explanations which will not be enough for beginners to complete the assignment. There are also errors in the asssigments which I had reported.
I will not recommend it.
By Joel L•
Instructors were knowledgeable, but I found the lectures to be a theoretical example, followed by a very simple real-life example. Then when you take the quiz, the questions are SIGNIFICANTLY more complicated than what I was ever taught in the lessons. Some worksheets of sample problems that escalate up to the difficulties seen in the quiz would have been very helpful.
By Utsav S•
The course content was very basic. Especially the first part of the course.
The later part(probability) of the course was very theoretical in nature. Typical problems in quizzes and examples as you would find in any mathematics text book. Being Data Science Maths skills course, I was expecting some real life example or even the mention of data science during the course.
By Star S•
The course started of well paced but began to get complex and hard for me to pick up the logic. i clearly had a bad experience especially in probability part. could have used more understandable examples and explanations . although its said that this course is entirely for beginners, i feel its best suited for people who comes to refresh the topics .