Ratings and Reviews for Fitting Statistical Models to Data with Python

I was looking for an application course that would help with using Python with real world data. This was a theory course that added a small poorly explained notebook and a very brief lecture which didn't explain the code very well. If you're looking for a statistics theory course this might be fore you. If you're looking for how to use Python in the real world, I might look at other courses first.

I am very thankful to you sir.. i have learned so much great things through this course.\ \ this course is very helpful for my career. i would like to learn more courses from you. thank you so much.

Good Intro course

There is some good lecture content, but the assessments don't really give you a chance to \"do stats\" and demonstrate mastery of the material.\ \ E.g., the week 3 Python assessment consists of just running Python code--you don't actually write any code--and answering the questions is as easy as, e.g., picking the parameter with the largest number.

The course is alright. They give a high-level overview of linear and logistic regression, and dip a little into Bayesian statistics. Note that they use the StatsModel package in their practice assignments. So I was a bit disappointed I didn't get to practice sklearn, which is about x10 as popular in the field.

Very good instructors and very good workload!

Good course, but the last of three was the most difficult one. I hope that it were a good introduction to the fascinating world of statistics and data science

please better explanation of python videos

It was good - Thanks.!

Very good course, I like many practices and evaluations focused on database of real cases, perhaps it would be advisable to reproduce results from the same sources ..... JL