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!!
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By nikhil k•
well the initial part of the course is very basic .. too basic.. the course doesn't scale up with the first 3 weeks. but the instructor is clear and makes concept easy to understand. but things change in the fourth week. the course shifts gears from very easy to intermediate. without much guidance.. or examples
math skills are to be practiced i hope the instructors level out the difficulty level in the course. An ideal math course should have many examples to practice with constant involvement of the instructors , support guys.
just 5 or 10 problems doesn't get you much and when asked to pass with 80% is tough.
. i left the course in week 4 and again completed after i understood week 4 content better.
this course doesn't have many many of the math skills required for data science.
ideally a math course should scale up from simple easy to intermediate to hard and later challenging questions and final assignment should have a combination of first 3 and passing of 70 to 75..
so the course requires
a. more examples for practice with solutions atleast 20 -25 both solved and unsolved
b. more math topics to make it more comprehensive for data science
c. more involvement overall
By Brendan S•
I definitely learned a lot in this course, and, as someone who has historically avoided mathematics, I think it is a fairly good introduction to these concepts for people at my level. However, I think the course was somewhat inconsistent. The final module could really use some more explanation and examples. Probability is a very abstract field, and it can be difficult to take real world examples and translate them into formulas. I think that the module would benefit greatly from spending some extra time on translating english-language situations into formulas. There were also some non-trivial errors in the videos that need to be corrected. Overall, I'm pretty happy with the course but I think it doesn't yet fill out its potential.
By F K•
The first two weeks of the course were well explained. But when it came to the probability, the course was confusing so that I had to search for more sources and learn from YouTube. I have been away from math for a long time, so I took this course which is described as for the beginners. I was extremely confused and disappointed about myself for not understanding the concept of Bayes Theorem for example. But when I checked other sources on YouTube, I could understand it easily and only then I was able to answer the quiz questions. So many basic concepts such as Tree diagram which are extremely helpful for grasping the theories and using them in real life situations were not even mentioned.
By Jean-Baptiste B•
Pretty good, overall the explanations are clear and the exercises/practice quizzes are really useful to understand the material.
Negative points: the last part on Bayes' Rule and the Binomial Theorem is a bit too fast, and I needed to supplement it by external material to fully understand it. And it would have been great to have a part about linear algebra and maybe calculus, but I guess there were some time and financial constraints that did not allow that.
I still recommend this course, that's a really good refresher or intro. You'll need to supplement it by other material, though.
By William M•
The positives first: Brought me up to speed on important statistics and probability information for my future career.
The not so good: The second instructor does not need to show his face. That was very distracting.
There was no working often provided in the course notes. Sometimes when I would work through a problem I would make one calculation error and couldn't easily figure out which one it was. I would prefer if they would show each calculation step by step. That would have made things a LOT faster and easier. Instead I relied to brainly, which is a great website.
I think the first two weeks were great but the probability explanations could be better. I'm sure Edgar is a great scientist but he's not very organized and the videos are very cluttered (not everyone is fit to teach just because they are in the industry). The topics covered in the probability portion of this course are better explained on free sites like Khan. I took this course to have a better understanding of the binary classification portion of the referenced specialization but don't think I gained a good understanding of the material from this course alone.
By Lucia S•
The course started nice and well explained, there are some useful info missing, e.g. what is Euler's constant and why is it defined as it is and then more practice examples would be also welcome. All that would be fine and I would have given the course full 5 stars, but I felt really discouraged with so many errors in the practice quizes and even in the last graded quiz. Additionally, it was a bit annoying that I could not finish the quiz on my phone as in one of the questions there was only the problem and the possible answers visible, not the question itself.
By Benjamin D•
If you are familiar with the concepts in this course, it will be fine. If, however, you happen to discover them for the first time here, the instructors go so quickly in their explanations that you'll end up with a high level of frustration.
When it comes to statistics, fewer concepts introduced per video, and more examples of each concepts would have been a better approach for real beginners.
Finally, don't believe you've acquired the "math skills" necessary for data science just by following this course. In this, the title can be seriously misleading.
By Man D•
The first Half of this course is wonderful. Well presented, interesting and something to look forward to. The second half is done by a different teacher, is confusing, disorganized and and time would be better spent elsewhere. I highly recommend the first half though, and then looking at the topics list for the second half and go elsewhere for those. There are some great recommendations of others videos and courses to cover the 2nd halves content in the course forum as it appears it was a common issue among students.
By Jeremy E•
About half of the concepts in the course were new, half a review of topics I studied in high school, about 15 years ago. For the review topics, this was a good refresher and the concepts came back quickly. For the topics I hadn't studied before, I felt like there wasn't enough explanation to fully understand the topics, and I had to seek out additional explanation outside the course. There could be more opportunities to practice and reinforce the concepts discussed in the lectures before moving onto the quizzes.
By Michael B•
Week 1 & 2 were done well. Week 3 & 4 lacked clear explanations. Too often the instructor jumped to the result without showing the work of how he reached the answer. I had to spend a lot of time looking elsewhere for explanations. The quizzes also asked questions on topics not covered in the coursework. For example, the course covered the probability of exactly x out n coin flips. The quiz asks the probability of at least x out n coin flips but the course work does not tell you how to calculate that anywhere.