It is a very interesting course. You can learn more about statistics and how apply with Python and their libraries.

This course has really helped me boost my confidence levels in handing data with Python. Thanks for the instructor.

It was a great course. It gives insight about how to clean the data , visualize the data and gain insight from it.

Muy acertado en los temas tratados, agregaron al final del curso los subtitulos en español por lo que se agradece.

Well organized topics with pretty sufficient instruction. The more advanced coding only got a cursory explanation.

Very good course, it goes straight into the useful tools and concepts in regards to data analysis and prediction.

I mean, it's super well prepared, but the scalation of topics seemd to be a it too quick, at least it was for me.

The videos are bit faster. It would have been better if it was done by some real teacher rather than voice over.

use of names was a bit confusing at times compared to final assignment, but otherwise very helpful and enjoyable

This course should come after the Data Visualization with Python course in the Professional Certificate program

Maybe a bit too fast for those who are not familiar with various kinds of regressions...

Other parts are great!

Interesting course, but there are some moments when they give an interesting idea, but not the implementation.

Good course, but it's too basic. I learned basics of pandas, scikitlearn, seaborn and other python libraries.

High quality, concise content, well timed videos with pop up questions that ensures focus of the participant.

The Content was really good but some topics are explained in very short.

But Thanks for this awesome course!

The difficulty level of this course goes up very dramatically and it took me very long time to understand.

Best course in the specialization so far. An introduction to the statistical concepts could be beneficial.

Very good introduction to data analysis. Some of the concepts mentioned here needs much more explanation.

Really good course, just that sometimes it seems it takes in big steps which may provoke some confusion.

It was a good course. However, in my point wiew, it was necesserary exploring the Pandas and Numpy more.

Great course with great classes. The exercises are not complex which makes the practical part less good.

Great content but problematic when you need to use IBM Cloud platform that doesn't accept new accounts.

An excellent introduction to the techniques to analyze data and do the validation, very clear exercises

A very good and detailed explanation. A little bit of assistance in coding should improve in the labs.

Overall coerce is good. Just the algorithm explained at last weeks need to be more simple explanation,