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.

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.

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.

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.

The first part in the course in too basic, but atleast the level of task is equal to material.

The second part is too short for such a complicated topic. And lack of example doesn't help to solve the problems after each week. I had to check other sources for more clearer explanation.

Overal the course doesn't cover the topic, it just has a "loud naming".

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 .

The first part of the course is taught by Paul Bendich and it was great. Everything was done step by step and well explained. The second half was taught by Daniel Egger and it was terrible. He skips a bunch of steps and you basically have no shot at doing the quizzes the first time. I'm glad I only audited the course and did not pay for it.

After the second week, explanations become too abstract without a concrete explanation of how relates with the real world. Also, the examples are too short compare to the problems that are included in the quizzes. It will be way more interesting to learn the explanation of the quizzes than the abstract examples during the presentations.

Some useful concepts, but several of them, especially in the last week of the course, were very vague and did not give examples on how to use them to solve problems, which is the point of the course. If i wanted definitions and formulas I can just google them. The whole point of a video is to teach me how to apply it

The initial modules are insightful and helpful. But I had a lot of problems going through the material in week 4. The instructor struggles to make the content engaging and the videos often end up sounding very monotone. There's a big gap between the material discussed and the questions asked in practice.

The course is fairly easy and unchallenging. It's like an introduction in maths for high school students. I was expecting harder maths related to data science and/or machine learning, but this is just a review of high school maths. Not entirely a waste of time, but disappointing.

baye's theorem and the binomial addition to it should have been explained broadly, this is a multi country based program , people from different country access it. hence each and every formulae and colocations should be explained better and write-in a better way.

Very rushed presentation. Blows right through a lot of fundamental concepts without a deep enough explanation or enough practice material (especially in the last two weeks). I feel like completing this class will require supplementation with better instruction.

I was attracted by the syllabus (substance) but I found the presentation of the teachers quite disturbing (form); bad calligraphy, some mistakes, poor explanations. Anyway I completed the course and it will be useful as a general introduction to the topics.

As a stand-alone course, this is perhaps only for folks with above-average IQ. There was hardly any attempt to explain any of the concepts in a new/simple/intuitive manner. I wonder what the other students saw in this course resulting in the high rating.

The first three weeks had explanations that made sense (i.e. helped me learn the concepts). However, week 4 did not have enough material and it was really hard to work out what was going on, so I had to resort to Khan Academy and You Tube!

The probability section left many serious gaps in information compared to the test. I had to take the exam multiple times, and even after restarting half of the class twice. I'm not usually one to have to do this for a class.

Video lectures were not very clear. It looked like these lectures are for revision and not for learning it first time. Baye's Theorem is yet not clear to me... I just mugged up some formulas which i will eventually forget.

The weeks 1-3 although elementary were explained well but the change of professor on the last one really did nothing. There were far better tutors on youtube teaching the same things he did more clearly.

Concepts not covered well enough, just for the sake of teaching. Pure time waste. Bayesian Theory was not taught up to the mark, I had to refer external resources to understand it well.

the video learning was good, but the quiz questions were at a very different difficulty levels. I would just like to say that this was supposed to be an beginner level course.

This course is very short. I've completed it in about 4 hours. Nothing was told about linear algebra, statistics, optimization. It is not enough even to learn Data Science.

A mixed bad. The younger professor is a much better and more engaged teacher. Week 4 in particular, taught by the older professor, comes across very low-effort and messy.

This course dos not contain enough examples which needed to train and practice ,PDF is not clear enough and does not contain any problems to practice.

Thanks

The second professor isn't great. I don't think it's his fault, but a lot of information was crammed into 2 weeks and I had to do a lot of self-teaching.