Awesome content

easy and simple

Merci beaucoup

best course

very nice

excellent

thank you

Greattt

perfect

Awesome

Brutal

Great.

Good!

great

Good

Be prepared to study really hard for this one by yourself. A lot of abstract information in module 4 and 5. Takes a lot of hard work for this one to truly understand every concept. Final project was also challenging and definitely pushes you out of the comfort zone since many concepts not taught, but will accelerate your learning much more than previous course projects which were too easy.

This course introduces lots of useful regression models for data analysis. It also includes labs for using python libs to compute these models and interpret results. Absolutely fresh experience for me.

Found it a bit tougher to comprehend. More examples and formulas like the 'Logistic Regression' Module would have helped.

Extremely challenging incredibly for beginners yet rewarding.

too deeper information. lab was nearly impossibles

it's a good course for begginers

Thanks

good

I would like to share a few observations. Firstly, the course is heavily focused on statistics, which might be challenging for someone specializing in mathematics. Additionally, in the final project, there is a notable absence of coverage on data engineering, despite appreciating the overall content. Upon completion, the course effectively covers a substantial portion of data science, but it would be beneficial to include more on data engineering.

It would be of a great help if there is a video of someone explaining more on how to do the end of course projects. There were so many Phyton commands that was not discussed in the course but was later required in the end of course project. This seems to be a steep hill to climb coming from a non-CS background.