Avis et commentaires pour l'étudiant pour Data-driven Decision Making par PwC

I was expecting a lot more detail on ***how*** to perform data driven decision making. What I found is just a lot of buzzwords and very shallow overviews.

Some interesting information in this course. Good overview of data and decision making. I like the breakdown of the data-decision making model.

The Course is a bit too promotional of PWC.

Very general overview, not really teaching specific techniques or approaches. It gives names of analyis tools and methods, so you know what to google, - i find that useful. However, it's mostly general and rather superficial information about how important is data and that companies should collect and analyze data, visualize results and take decisions based on the analysis.

This course is a good introduction to how companies analyze and visualize data. I didn't always feel like the course material gave me a real understanding of the topics and the tests don't have versions or any explanation of incorrect answers--but you can take them many times--so they can sometimes be more of a guessing game than effective tests of knowledge or understanding. This course would be improved by more meaningful discussion topics (I sometimes skipped these because they didn't feel meaningful), more practice questions or simulations, and more refined case studies (with perhaps some guiding multiple choice before the open-ended final assignment).

Overall, this is a good course. It provides many handy tools, frameworks, techniques for data-driven decision making process. It does improve my decision making skill. However, the course is quite short and doesn't have much in-depth content.

overview was good

very basic information ! The cost of the course is not justified for the content shared/displayed.

The course content is predominantly high-level and unspecific and gives an brief overview of data analysis tools that would only be new in case of no prior knowledge in the spheres involving data analysis. I would suggest devoting more content in the course to specific types of data, as well as specific data analytics frameworks and techniques.

The final project was rather ambiguous as there were little to no guidelines with respect to how to complete it. The case study required to provide detailed answers regarding the analysis, however, the sample cases did not provide much detail that would be adequate to answer some of the test questions (e.g. questions regarding achieved insights, insight-based recommendations etc.).

I know it is an introductory course, but there was not much that I feel like i learned from this course other than a bunch of vocabulary words. I hope that there is more technical instruction in the following courses in this sequence.

This course does a good job overall of framing the importance and challenges of working with big data, and certainly inspired me to want to learn more. However, I think the material could be organized better, and the lectures are not nearly the same quality as the universities' courses...not to mention too heavy on the PWC pitches. The quizzes and assignments don't necessarily correlate well with the lessons, and the assignments are structured poorly. Based on my experience, I would not recommend a PWC course to serious learners.

This course cover the concepts and aspects of analysis very well.However,regarding the final week assignment I feel that,it can be an overwhelming challenge for those who do not have any business related background.I am an Engineering graduate and hence couldn't understand some of concepts related to making business decisions,as they were not taught in the course.Other than that the overall Data Analytics industry and careers exposure were pretty well explained and informed.

Good stuff in general, but from my personal point of view: a little bit too much of general info around what data is and can be used for (I know much of it already). I think, however, that the course is great for beginners.

I was expecting in depth explanation of decision making. Thank you.

It was OK.

Is too much of an overview. I'd like if they could make the course much bigger and actually practice what was learned more and go more in depth. I'm gonna forget the information in a month for sure.

I wish they would not sell pwc so much in their presentations. It is too distracting.

Also you don't get certificates. The assignments aren't reviewed on time so beware.

It was good but quite basic with less real-time examples from different industries to explain the point.

GOOD COURSE BUT TOO THEORETICAL NOT DEEP ENOUGH

I personally found this course a good start for those new into the data-driven world, although there are three potential points for development

a) as most of the IT-related stuff it is getting outdated very quickly so this should be taken into consideration when talking about tools and systems

b) not enough information on data visualization principles which are VERY important (more than data themselves)

c) I'd also link this course to other courses e.g. on machine learning

Too simplistic iapproach to analytics.

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.

No concrete things.

Water, water, water.

I was able to answer the quizes without watching videos. 100% result.

Not very useful in practical sense

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.

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.