I think we could jump in theory a bit faster, week 1 and 2 are basically introductory.

The first week is the only one that is really worthy. The others are too superficial.

Exercises were fine, but some more detailed reference material would have been great.

i believe with more recent and new case studies on the tech-companies would be great

Me gustaría ver más ejercicios numéricos, para poder aplicarlos en nuestros trabaj

Overall a good course but I felt that parts of it were too theoretical and long.

Overall, the explaination is adaption, But in may not be much relevant in 2022

Focuses more on what is there in Customer analytics than how is analytics done.

Some of the models and statistics should have been given in depth explanation.

Good theory, zero practice or info on how to build, run regression or models.

Too much theoritical and could have concentrated more on the regression part

I find week 5 topics most interesting as I learn actual application samples.

Good overview course but some information is too topline & already outdated.

The course structure is good. If there is more real cases, it would be good.

Very much bird eye view. Not a lot of detail. A lot of obvious statements.

Some parts were heavy in math, but without explanation. Otherwise, great!

Including a few calculations will help in understanding the core concepts

Some errors on video of prescriptive analytics. Not so practical course.

Expected to do some hands-on exercises on data sets to derive insights.

The course could have given more insights on the current age examples.

It seemed very high level. No details, no formulas, no technical info.

Some lecture weren't up to the mark or it was difficult to understand.

It is quite alright. It would need a facelift and some more exercises

practical example are need to visualize the current market situations

El contenido del curso es interesante pero la participación es mínima