Thanks

great

great

great

good

good

good

nice

good

Good

good

good

Good

good

Done

.

-

T

F

m

G

G

The course was very informational. A lot of the concepts were new but very practical, as much as were the typical theories we deal with everyday in our corporate lives.

As much as I appreciate the course content, I had expected more metrics to be discussed, more maths, more problem solving, a session on a set of metrics, formulae, some business cases as a part of evaluation would have been more realistic. I deal with lot of analytics and numbers always. I do a set number of things. I was expecting the professors to guide us on more number crunching techniques with say, an excel of data of say 1000 employees. How do we play around with such data - which is what I do. And a thorough insight on such would have been amazing.

I hope my feedback is taken into consideration in a positive light. I loved your sessions, and would love to join in the future again, and it would be really helpful if you could guide us in some of the ways I tried to explain.

Thank once again.

Best

angana

Pretty good. Cade's analysis of the NFL draft is the highlight of the course and one of my favorite videos in the entire Wharton BA series. Overall the course gets kind of depressing towards the end as you realize how noisy this data is and how tough it is to get access to.

Martine's network analysis module is pretty cool. It would not have been overload to work in some of the calculations of network metrics, though, and they would have made for better quiz items. I'll have to be honest, though. I'm not very hopeful about ever being able to use this kind of analysis in the workspace.

Matthew's module was ok but I thought could have used more hard examples. Maybe some research from law enforcement or some field with lots of pre-tests could be used to illustrate regression and some of those techniques.