An excellent course journey for this subject - Data Driven Decison Making, very good content with relevant case assignment and they are paced comfortably to allow me as learner to grasp the knowledge.
Congratulation is a great course, a Professional level.\n\nThank you PwC for share the experience of the HUMAN TALENT.\n\nThank to the instructors a really great course.\n\nThank you and God bless you
The final assignment was not marked fairly by other students.
By Shane W•
Nice introductory overview of the application of analytics
By YOUMBI N F Y L•
We expected to learn pratical skills during this training
By Ahmed A•
Could have been much shorter.. too much repetition.
By Kehinde R O•
GOOD COURSE BUT TOO THEORETICAL NOT DEEP ENOUGH
By Joseph S E•
OK course. Just very high level introduction.
By Francisco M L•
Demasiado teórico, poco práctico.
By Aygul K•
There are so much ads about PWC
By Natalia M•
extremely high level
By Jitendria v•
overview was good
By Saumyajit D•
Overview is good
By Ayushi G•
By Swarada S P•
It was OK.
By Michaela B•
Positive is that this course gives you basic understanding of data analysis. 2 weeks of this course went quite okay, although I noticed in the first week already that presenters are reading what they are saying. The third week is SO boring and I cannot wait for this course to end. I can say for me it's the most expensive and the most boring course on coursera so far. I tried several courses here and none of them was so bad. Honestly, I expected more from this one as it's PWC but honestly it seems to me like 'Yeah, let's read some paragraphs from fancy lectures and books and make some money of it'.
By James P W•
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.
By Marko V•
Sounds more like soft sale of their services. No digging into real-life examples enough, they've given a brief overview of how they solved some real-life problem but without any details (similar to their web site). It is only mentioned types of analysis and tool without giving example of how that works in real-life. Could be much better...
By Raymond L•
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.
By Anas G•
More felt like PWC was promoting its brand , lack of indepth knowledge provided. Better would be to provide more pratical applications of data analysis.
Some of the presenters were not just good enough
HIgh production value of the videos was the only plus point .
By Raymond C•
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.
By Joshua W•
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.
By Mark S•
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.
By Maria A•
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...
By James C•
This course teaches you how to talk in an educated way about technology without really teaching you anything at all.
By Evgeniy M•
No concrete things.
Water, water, water.
I was able to answer the quizes without watching videos. 100% result.
By Misbah S•
Personally I found this course a PWC marketing strategy, nothing more. I am disappointed