The course content is good. However, some ready to use short notes type material should be provided for future references

While the course was generally well-explained, there were instances where it might have been overwhelming for beginners.

This course started getting challenging, more so compared to the previous courses in the Data Science Certificate track.

Actually I don't think there are enough coding practices, but the videos are great learning materials for new starters.

Good course! But needed some more practice on Pipelines, Multivariate Regression, Grid Search CV and Ridge Regression.

Well structured, good detail. Lacking a peer graded assignment at the end to really put our skills to the test though.

It was good experience specially the lab environment is very user friendly and very good work for practical knowledge

This is a tough course for beginners. So instead of playing a presentation they should look up for a good instructor.

This is good to understand and plot the data using Python. Most of the course and test are revolve around statistics.

Good tool with little mistakes.

The quizzes are too easy

Hope can code the whole project not a part of the vital codes

It's an amazing course but I think there should more theoretical information about Linear and Polynomial regression.

The course is very interesting with a lot of detail but it doesn't but it is to short for all the matters it covers.

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.