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.

The course is extremely helpful and the content is good. However, it is hard sometimes to follow the Principals/Directors teaching the course. Additionally, it would have been fantastic if a lot of time was spent on giving examples, practical work demonstrated and a thorough structure of how it was done.

Maybe, all this will be coming in the future courses. But for beginners, it is hard to understand and catch interest on the topic if not discussed with detailed examples and not merely giving highlights on the examples.

Most of the useful content is during the last week of the course, when you work on a project. However, concepts such as creating a hypothesis/es are not fully introduced and may be confusing for those who do not already have some training in scientific method or statistical method (e.g., knowing what a null hypothesis is). The simulation was also not useful, and contains a lot of jargon. Most of the content in the first part of the course is blue sky jargon discourse about Big Data, and can probably be skipped.

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.

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a) as most of the IT-related stuff it is getting outdated very quickly so this should be taken into consideration when talking about tools and systems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

This is a fairly high-level look into data and analytics, and mainly approaches this topic from a business angle albeit it would have been nice to go a little more into the analytic side of things before getting into the deep end in the second course in this specialization. The quizzes were overly easy, and the simulation final was really cool. The final peer assessment wasn't challenging enough relative to my expectations.

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.

A good foundation course. I believe the information regarding tools and techniques could've been presented in a better manner by working on live files and displaying it. It was monotonous. Apart from the rest, the final course case studies were brilliant and helped us to collaborate our understanding of the course.

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.

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.

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.

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.

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.

The course talks about topics on a very abstract level and I expected it be comprehensive and detailed. As far as the delivery is concerned, I found it pretty nice and captivating.

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.

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.

Good crash course. I really liked the framework and overview of types of analysis. I didn't like the shared case study qualities as such.

The course is good for elementary understanding, th exercises were fun too. However, the tools could have been described

This course is good but it only has theories. Practical use of Excel or any other analytical tool should also be added

Really long PwC commercial. Had a few choice nuggets of information. Hearing the vocab a bunch was good.

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

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

A little dry, but a good introduction of the theory that underpins the rest of the modules.

Too high level compared to what I expected, but does give a good overview of the topic.

Good demonstration of data analysis at a glance but that's all it is.