This particular course was not worth the money. Lots of advertisement to work for PwC, not a lot of new ideas or new skillsets learned. I would recommend skipping this section.

Its a basic and fast overview of big-data and some various tools. You don't really "apply" anything, just listen and read. This could have been a white-paper with short video accompanying. There were a mash-up of corporate sales and on-boarding videos that felt disjoint with the learning goals. The information is freely available on the web. I'm not clear on the added value in this MOOC.

Gives a very high level overview of data analysis used in industry. This coursespecialization's discussion forums are not moderated by PwC people so you won't glean insight into how PwC folks handled specific situations.

Peer review is too slow on the final assignment. This drags out Coursera subscription, and the expectations on how to write the final assignment are not well defined. I give this course -2 stars for this reason. Otherwise it would be a 4/5 for a good introduction into business data analysis.

Too simplistic iapproach to analytics.

Not very useful in practical sense

Touched on some interesting topics, but not very practical. Course mentions data analytics technology (SAS, Tableau, Python), but you don't actually use any of the technology.

course is way too theoretical and a kind of overview of data analysis.

This course teaches you how to talk in an educated way about technology without really teaching you anything at all.

Very basic course and for me it's still a question why finishing the course in 5 days you need to pay for several month of subscription...

Blatantly unfair and subjective. Also, rubric doens't match the questions.

The only good news: I learned some stuff.

Peer Reviewed Assignment not a well planned marking system. Grades can be to vary. Dependent on fellow students for pass not most ideal.

Boring lectures. No applyable content.