Ratings and Reviews for Fitting Statistical Models to Data with Python

Thank you for creating this course. I have learned basic knowledge to succeed my incoming business education. I have a bachelor degree of laws and am transferring to a master of management. I used this course to learn the prior knowledge that I need about statistics. I finished this specialization and feel more confident about the numerical analysis. Thank you again Michigan Online for your great courses!

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

Really thorough and in-depth material about statistical models with python.

I must say that this is a must take course for ones who are aspiring a career in Data Science. All the concepts were laid out so beautifully and it was explained very clearly with visualisations of each real-life-examples. I enrolled in this specialisation before starting my Machine Learning so that I have all the necessary fundamentals of Statistics. Brady Sir & Brendra Ma'am are simply phenomenal, the way they explain the concepts are incredible. The concepts gets etched in one's memory.

Very informative and the example applications are extremely detailed

Great review of machine learning used in statistics finished up with some overview on bayesian math. Enjoyed very much and learnt even more.

The course is actually pretty good, however the mix between basic subjects (like univariate linear regression) and relatively advanced topics (marginal models) may discourage some students.

The content itself is great but some notebooks were a bit unready. Otherwise great course!

Great lecture content, poor quiz design. Hard to apply any of the concepts that you learn.

Content of course was good. Some issue with quiz.