Python for Statistical Analysis

Excellent explanation of statistics from a computational perspective. The case studies were very satisfying, too. Probably best suited for those that have previously learnt the basics in Python.

This is not a beginner course, you need to have a good understanding of stats and python because the proffesor don't explain much of the concepts but uses them to answers questions and solve problems.

I've given 5 stars since I really enjoyed this course and it was exactly what I wanted in order to learn about SciPy Stats functions and how to visualize them. The examples are fun and stimulating with a nice helping of Aussie humor thrown in! Definitely more than a beginner course--the practical examples near the end are especially challenging. As an exercise, I've been adding markdown and comments to the downloaded notebooks. This should aid my understanding the second time through!

1/10/24 - I just started (15 min ago), but communication and presentation are great so far. I will update review later.

The course is not for beginners like the courese level indicates - you should have more than basic python skills and also you should have also some deeper understand on statistical topics. since i am a huge fan of code along courses i was pretty disappointed when huge code chunks where copy and pasted by the instructor - so either you pause and try to code along that way or you load the notebooks from the instructor and copy / paste yourself. But even then, some of the notebooks where faulty and didn't run through and threw some errors. also the intensity of the knowledge with which you are bombarded is quite insane - all that while you try to keep your code in sync. i had to pause a lot and also debug by using chatGPT for help since some of the content is faulty - maybe thats might be due to a version change of some of the tools and not the fault of the instructor but it is cumbersome. i will have to take another, more basic course in the meantime but are planning to redo the course as soon as i gained more knowledge regarding the topics of this course but the course instructor should think about to not market this course as beginner level - Its not - nevertheless there are a lot of fun practices like the meteor hit probaillity practice. so if you are already more advanced in statistics and python you might really dig this course

Don't think the course is bad, however I've learned nothing simple because I was not able to follow most of lectures. It's wrong to assume you only need basic python knowledge, as the course is very technical in terms of statistical and the instructor just drops tons of code and assumes you know all about it. Once again, I'm not saying the course is bad, but the requirements should definitely be reviewed because this unless you have strong statistical background and python skill, you'll not be able to follow along.

its good, but the teacher shouldn't be afraid to explain in more detail the math behind the statistics he is explaining, after all, the implementation should be secondary to the understanding of the statistic principles.

You definitely need to know statistical concepts and have advanced python knowledge to understand this course. It is not for a python beginner.

Only the second part had some practical explanations, all the others are just code and mathematical functions showed to us without any practical explanations or how you can choose what to do between the course subjects in your real world.. even the code is not explained well

Lectures 1 to 10 are great. Someone expalin to me what we are doing in or how we got to leacture 11 up to the rest of the class? we start with a data set then he explains how you load the data set. it is so confusing after that point i reastated the lecture becaseu i was sure I skipped multiple lessions. The screen is also pitch black

Amazing course! I've taken an introductory Statistical Methods class for my master's program, and this Udemy course complemented my learning. Samuel is a great instructor, and I liked how he added enough rigor without going into proofs ?. If you want to enhance your skills as a research scientist, data scientist, or mathematician, I recommend this course!

Awesome explanation, an advance level coding, and manymore!! absolutely worth spending time and money!

Talks too fast, but the concepts and tools are great. Maybe some pdf with extra information about the section topics could be beneficial for the students.

The instructor is awesome but a little bit fast. They need to slow down so that the learners can have better look and understanding of the written or coped and pasted codes

Excellent class and building up on the instructors other class "Data Manipulation in Python : A Pandas crash course" which makes it a good combination.