This course has a great quality materials when it comes to graphics and animations. In some places, it also presents the concepts in a really intuitive way (like showing that regularisation can be thought of as a maximising conditional probability). But in my opinion, while creating the course, too much focus was put on the graphical part of the course, which is slightly overdone, while the materials are confusing in some parts (like in the Law of Large Numbers and the CLT, where the assumptions are shown in a way that's just obfuscating the concepts). Also, the course is way, way much overdone in terms of being beginner friendly. For example, the instructor spent tons of time on explaining trivial concepts, like expected value, illustrating it with multiple examples and lots of animations, but went really quick through more interesting ones, like the Central Limit Theorem. I personally found the course boring in the parts when the simplest concepts were presented and confusing in the parts describing more difficult ones.

I am rating this course 3 stars because I had to struggle a lot in understanding the concepts of statistics even after reviewing the lectures. The pace should have been slower and the terminologies discussed were not very clear. This course took me 10 days extra to complete.

Cannot finish this course, as my Python skills are lacking - yet, the course was advertised as for "beginners". I tried to submit my first programming assignment about 30 times, no success. Very disappointed.

Fine. Didn't mention anything about ML so you'll just have to figure out how this relates on your own.

Last two weeks of the course are pretty hard to understand, it could've been made easier!

Material was a bit rushed

Let's start with the positives: Some of the ungraded lab are great introductions to data analysis and application of simple math to machine learning models. They are easy to understand, fun to play with and you can see some time has been put into making them useful. That's unfortunately about it. While I was incredibly happy with the first two sections of the specialization and used it to implement my college studies on the matter, this part feels incredibly rushed. Lots of formulas are thrown in and not explained. Luis, a great teacher in the first two courses, seems exhausted and just trying to spit out a list of facts. Most things are thrown at the student without a clear path or link to the examples shown. The graded labs are either too easy or leave the student with no help. This results in a lower quality specialization on the hardest of the three topics. Not much is retained after the course unless you are studying the subject on your own. On top of this, the quality of the videos is very low compared to the first two parts. Continuous disturbing sounds, incorrect formulas, dropped in voiceovers make it frustrating to follow. I really hope they can improve it and make it as good as the first two parts.

First week was ok at explaining the concept. I found w2-w4 difficult to understand and I ended up watching other YouTube videos (StatQuest, Brandon Foltz, 3Blue1Brown) which did a much better job at explaining the concept and material in a much simpler and intuitive way. This course needs some improvement. The instructor speaks too fast in the video. It's difficult to follow along when you try to read the notation. The labs do help to understand the concept in a practical way.

Sin ninguna duda, el peor curso que he tomado. Esta especialización de 3 meses fue una perdida de tiempo. Me imagino ahora que hubiera pasado si esos tres meses hubiese tomado un curso que de verdad valga la pena. Me la pase más viendo videos de youtube que explicaban mejor los temas y ChatGPT que daba mejores ejemplos. Sin ninguna duda no recomiendo este curso, 1 estrella es mucho para este curso.