The topics discussed were amazing but would have loved to dive deep a bit into Anova, Ancova, and other hypothesis testing.

Transcripts have many mistakes. Good course otherwise.

Probably the weakest course in the whole curriculum. A lot of concepts are mentionned but it is too ambitious to consider so many complicated topics in such a short amount of time. Lasso and Ridge regressions are barely mentionned, important concepts are considered in just two minutes. It may have been a good idea to have too courses on all this because it's very important to feel comfortable with regression techniques before starting the Machine Learning course. It took me a lot of time on other resources to get what I consider to be the adequate knowledge to go on with the next course. The teacher wants to cover too many things in a very limited number of videos.

They just read a written Text. Sound weird. Courses also very superficial.

I am currently at my last module and I am just passing it to receive my certificate I would describe this course as a miss 1. The course is not well structured and the presenter is just a robot reading a script 2. Too many concepts were covered without any deep explanation and within to much short videos (I am Industrial Engineering student and these topics are so important and they need nearly 4 times the videos so you can say that you understand linear, logistic and hypothesis) 3. Python Videos are totally a shame for google , in addition to the material videos , python videos were far worst(Needs more clarification and slow down)

This course is incredibly important as it covers essential concepts in data analytics/ science, but the instructor was not that professional and she was not good enough to present the content. I have felt like a robot is teaching me or just a non-data professional reading from a script not a human being.