Master statistics & machine learning: intuition, math, code (Udemy.com)

This is an incredible course. My understanding of statistics has increased considerably. I'm able to successfully identify how the lessons relate to the code, but I'm not able to independently write the code. Whilst I have a solid comprehension of Python, I am not familiar enough with statistics to identify what np packages I need to use and when to use them. I personally feel one area that MX Cohen could improve on would be to have a one of lesson discussing the packages, together with the generation of specific distributions. The unsupervised challenges are pushing my understanding and I'm very grateful to the community for enhancing my learning.

Mike is not just an instructor—he's a true teacher who cares deeply about whether you actually understand the material. His Statistics and Machine Learning course on Udemy stands out because he focuses on building intuition, not just running through formulas or code. What makes him exceptional: 1. Clarity Over Complexity: He has a gift for breaking down challenging concepts into clear, logical steps. You don't just memorize methods; you learn "why" they work and when to use them. 2. Foundational Focus: He ensures you build a strong statistical foundation, which is critical for truly grasping machine learning. This approach empowers you to apply what you learn with confidence. 3. Practical Understanding: The goal is always practical application. You finish each section not only knowing how to perform a task but also understanding the principles behind it, making you better equipped to solve real-world problems. If you're looking for a course that will teach you to "think" in statistics and machine learning—not just follow along—Mike’s course is an outstanding choice. Highly recommended for anyone serious about mastering the subject.

Short review: This course is great. Long review: The concepts are thoroughly and in-depth explained. The coding examples are well made and are extremely helpful in the understanding. I believe this course is a great place to get a solid grasp on statistics, so if that's what you're looking for, this is it. Also, it might be only me but I really enjoy Mike's humor, and the enjoyment he seems to have while explaining statistics is really a plus to the experience. The reason I give 4,5 stars instead of 5 is that I think in some of the coding videos real world examples and actual data would have been more interesting instead of analysing some generated random data. But that's a minor thing, and for understanding the concepts the way things are is also perfect. All in all, great course.

Another wonderful course. I'm psychologist and statistics have always bored and scared me. This year I became interested in statistics and data science in general and Mike's courses have been the main reason for my enthusiasm to remain intact. Thanks Dr. Mike, I've been such a great time learning. And thanks to the Q&A forum too. I'm just learning code, so without people posting their answers, I wouldn't have completed some code challenges when I got stuck.

Umm, where should I start from. Omg, such a wonderful course. Mike has designed this course in a very nice and structured way. I loved each section. Got a very nice overview of statistics and machine learning in depth. I am a PhD student and now I feel more confident when I read research papers. All thanks to Mike. I have already enrolled in his course of deep learning. Just cannot believe how he can touch every aspect of data and explore all posssibilities. You are a wondeful scientist Mike, also my favorite instructor. I took your course on signal processing too. Well done.

I wanted to have an overview of the complete DS....i got what i was looking for...Learnt many important things and now i feel i am a better informed person than before..Loved the briefness of course..loved the boundaries you imposed when dealing with non important stuff.. All I wanted to tell is "Thank you Sir!!!"...

This course is one of the best ones I took on Udemy. The course content is very well structured, so all the topics are taught in a logical order. Also, it covers both Matlab and Python for the programming part. Thank you, Mike, for being such a great instructor! I recommend this course to anyone who wants to get a solid understanding of Statistics and Machine Learning.

I never had the chance to approach the world of statistics before starting this course. I had already taken courses from Mike Cohen, therefore I already knew I was not going to be disappointed. In fact, the course has been enjoyable, easy and entertaining. The use of practical applications and examples, made me understand all the topics, despite, it was my first time with statistics. I really advice this course even to the students like me who have had no clue about statistics.

It is an excellet course. Exceeded my expectations. I'm very glad that I found this course. While taking this course I purchased a few other courses from Mike.. Only matter I can recommend is to use real data rather than fake data on the code sections so the students can relate, picture easier. Simulated data, because there is no story to it, does't seem to stick to my long term memory and fades away much faster. Could be me.

If you have been "Forrest Gumping" your way through statistics, this course is a must! You will be gently exposed to data characteristics that go far beyond the "mean" and "standard deviation", but are essential in understanding data in our data-driven society. Note that language, especially the choice of wording and phrasing, plays a hugely important role in this course. Now let exactly this aspect be something where the lecturer is exceptionally well equipped, on top of being an excellent mathematician with the gift of teaching effectively. I truly enjoyed following this course, even though it took me quite some time to finish. I can't wait to proceed towards the Deep Learning course, the next gem in his rich course repertoire. Eric Kappel (The Netherlands, September 2021)