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.

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

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.

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.

practical example are need to visualize the current market situations

El contenido del curso es interesante pero la participación es mínima

Course is good.But it would have been great with some data exercises.

It was full of theory. I am looking at propensity models application

Can be improved, predictive analytic s section was missing details

Good introduction to analytics. Short. Not particularly demanding.

It will be better to have some data to practice on regressions!!

Outdated information, but still learned data analytic insights.

I belive it was too basic and superficial on analytics matters.

Need practical knowledge on how to use models for prediction

It is more difficult than I thought. Really helpful though.