Nice overview of the topic. I particularly like the analytical "Framework", the overarching method to keep in mind when asking and answering data-driven questions. It is a nice tool to keep you focused on results. I feel like it will help not only beginners, but help more experienced people sharpen their approach.

The course provides a lot of theoretical information on the topic. Without going into details, it gives an overall overview of the decision making process of the consultants.

The final project is tailored to the course and gives an opportunity to get hands-on experience on the topic learned.

I loved the course overall, and I thought it was the right amount of information for an initial course in a subject. My only complaint is with the final project/peer review system. Full disclosure, this is my first experience with that, but I wish I had more of a heads up of what to expect.

Course content was excellent lecturers were great the only downside in my opinion was peer graded assignments.Assignments should be reviewed by professionals.A good idea would be to allocate these to PWC trainee team.This will enhance learning and will make reviews more appropriate,

For beginners it is really helpful. Liked the structure of the course and topics covered. I was able to apply things taught over 3 weeks to the final assignment. Would definitely recommend doing it if one is interested in knowing the fundamentals for Data-driven Decision Making.

Good introduction to the topic, provides a high level overview of data-analytics and visualisation and their importance in the work place. After this course I'm inspired to dive further into the field and looking forward to PwC's follow up courses in the specialisation.

A very good course by Coursera, it briefly discusses nearly all major concepts, current technologies and challenges in big data. The focus is on developing a basic understanding so that the students are able to improve decision-making by deploying appropriate tools.

Good overview of data analytics and how data can be used for decision-making. The pacing could be a bit better (slow on the front end and packs a lot of information into the last couple of weeks), but overall the information is good and helpful in many contexts.

It was very basic for the most part, there was also a lot of fluff. The best part was when they went over the major platforms such as SAS, Python, R, and VBA that was something new to me that I didn't know. The framework was also somewhat useful to know.

I don't find discussion assessment helpful, it's better to recommend more read/video/media sources instead of it. And final project is late to wait. Eventually the course is useful and helped me a lot to structure my thoughts. Thank you in advance!

Course was good, covered wide variety of topics, and gave 10000 feet view of the data driven decision making process. It would have been better if there was a deep dive on one of the aspects of decision analysis framework

The course gives a good horizontal overview of the field, but maybe lacks some in-depth case study that applies the mentioned methodologies. Overall still is a great course and I would recommend it to anyone interested!

It started with quite a bit of theory but really enjoyed the later assignments and discussions. It really opened my mind as to the possibilities of data analytics especially from a accounting / finance point of view.

I enjoyed the course and thought the pace and content was excellent. The only reason I did not give 5 stars was because I thought the case study criteria was not presented before the assignment was given.

Good course to learn how to begin with any raw data we receive. To get a rough idea on where to get the data from? how to use them? and what analysis can we use to derive at a particular decision.

Excellent course for beginners or currently professionals in the world of data management. Everything that we do generates data nowadays so I will recommend everyone to take this educative course.

Good basic level understanding of analytics. It would have been better to have studied some of the analytical techniques by doing practical problems, to get a better grasp of how exactly does the

It is a good introduction to data analytics techniques and methodologies. However, I think there is over-repetition of basic points which undermines the more subtle, yet significant, points.

Very-well structured and very interesting course. I did not realise before that social media created data can bring insights and can be a useful source of data for business strategies.

I was hoping for a deeper dive into the framework but it was still a very wothy course. Thank PwC for putting so much effort into the creation of this fantastic learning experience.

Good introduction to the world of data, analytics and big data.

A bit too much PwC pitch.

The chapter were the analysis techniques are explained could do with better examples.

I found this course well structured and covered many foundation principles of data analysis. Regular quizzes throughout assisted in retaining the information learned.

The simulation was very interesting, but there is a lot of theory leading up to that which was at times a bit overwhelming. Summary slides / videos would be helpful.

Great Course, thanks for PwC and Coursera. It contained frameworks, helpful background about making decisions based on data, and interesting real-life case studies.

The course was good, but it is difficult to learn about the different tools (R, SAS, Python, etc) without working directly with them. It is a good first approach.