Python for Statistical Analysis (Udemy.com)

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!

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.

Fast paced, but an excellent resource for statistical analysis in Python. You should be comfortable with coding python in order to fully understand what is being presented. The instructor doesn't explain the code in great detail, with a lot of "thrown in" plotting code to plot the data, so be prepared. However the files are all available. Just short of 5 Stars as I felt a lot of the examples could be simpler, or the learning curve to be more gradual as it does ramp up significantly, particularly the Gaussian section that is rather complex!

The Presenter has an infectous passion for statistics and realy got me exited to lean and use this to analyze my own data

As a beginner, It would require much more exercises to absorb and put all this knowledge into use

Good so far

It is a little early, but I have liked everything so far.

Excellent content, and the instructor Samuel Hinton is knowledgeable, clear, and systematic in his teaching for us students. Highly recommended.

Explanation of topics are not clear, Instructor has to explain things much detail. It is totally a time waste course

Samuel is knowledgeable, passionate about the topic (Statistics) and the explanation is crystal clear. Lots of practical examples to work with and build a solid foundation of applied statistics.

amazing journey ?