No online course comprehensive than this one, applied Python skills along with important theoretical statistics concepts emphasized throughly. It has an applied approach also not delving into deep theory rather focusing the student to what and how to apply.
Ratings and Reviews for Inferential Statistical Analysis with Python
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Reviews and Ratings
Reviews
This is a very great course. Statistics by itself is a very powerful tool for solving real world problems. Combine it with the knowledge of Python, there no limit to what you can achieve. But this course is quite difficult , but interesting also
good
Basic inferential statistical concepts are very well-explained! Five out of five stars!
I Used to have some trouble in understanding Hypothesis testing as a concept, but after completion of this course I got a solid Idea on the whole concept. Thanks to the instructors for making it easy. But you can add a cheat sheet for the formulas of various Confidence Interval calculations and Hypothesis Testing. It will a good way for us to summarize while revising the topics.
All are excellent, except that for peer-reviewed exercise, I think more guidance about correct answers should be given, because I found some peers didn't fully grasp the concepts and wondered if they could grade the other people memos appropriately.
Very good course content and mentors & teachers. The course content was very structured. I learnt a lot from the course and gained skills which will definitely gonna help me in future.
Peer reviewed things should be eliminated. It's taking forever to rate an assignment, in fact, more than the "expected date" that they show.
Thank you a lot. For me was an incredible course I learned many things and was very important to my career. Thanks to all the team, They are really masters.
Exceptional course- Brady T West explains everything so brilliantly and I love the recaps and plentiful examples. There are a few things referred to that then don't feature in Python Labs though e.g. Chi-Square
