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The course is excellent but the idea of allowing peers to review your final assignment isn’t a fair deal. Peers are of different levels in their careers, language proficiency, understanding etc. Sometimes, they do not interpret the meaning of your written work but look for specific words you have used in your assignment expecting it to be an exact match as defined in the marking scheme. Sometimes they may not have the time to go through your work in detail but may just skim through the content and grade you based on personal opinion.

The course is helpful in providing a basic introduction to how data can drive better decision making in real business context. It provides a basic introduction to various tools and techniques. The best part is the final submission in 4th week which ensures learning from the entire course.

A possible area of improvement is including more case study discussions during the course which help understand what kinds of tools and techniques should be used in which scenarios. Currently the course devotes very less time to this aspect.

The course is excellent because it gives the opportunity to interact and with other learners and see their work because it forces you to evaluate them and this helps to have a better insight of what you have learnt. What I most liked is that you decided the effort you want to put in the course and thus the learnings you will gain. Some videos are a bit boring and too general, I do not think there is high value in naming 10 different programs, tools or techniques, you easily forget their names and its too general.

This is a very interesting course, which gave me a brief idea about the data world! I love how different colleagues from PWC shared their perspectives, which helped me understand this organization and understand what you guys' daily life. The only thing that I would recommend would be to add more real-life examples. I understand it was not easy to share different examples in public. Maybe for me this will be a more visualized way to grow and learn fast. Again, thank you so much, the pwc team!

The lecture video is invincible, while the exam and peer review could have somewhat improve in terms of the interaction. Detailed explain will be helpful, since it can serve as a feedback for students to check whether they answer is really right or they simply answer at a guess. Peer review may require students write down suggestions. I take the business metrics from Duke Univ and they do have this section which I think help me reflects more on the case study.

This course is a general course about data-driven decision making, as you can guess from the syllabus.

-It is a PwC course, you should expect PwC marketing content. Honestly, I didn't mind.

-You hear real-life insights from PwC professionals about data-driven projects. Many case studies.

-Recommend it to anyone who wants to start with a basic overview and get deeper with more in-depth courses.

-If you have limited free time, this course is short!

This was a very useful course to get me updated with the meaning of modern data analytics, the concepts of the types of data that are relevant today, the tools that can be leveraged, and the possibilities to create a systemic solution to big business challenges, instead of one-off analyses as we did in the past. I recommend these course to anyone who wants to gain an overall understanding on what data and analytics means today

This course has a very high production value, and offers a fairly comprehensive introduction to the world of data, but sacrifices depth in exchange for breadth. Thus, unless you are entirely new to data work as it exists today, significant portions will be review. That said, filling in the foundations is crucial to building your understanding of more complex topics outside the course.

This course is a basic, high level introduction to data analytics.I feel like more simulations could have been provided for practice with analytic plans. Also, the rubric is not provided for the final project and your grade is dependent on reviews from peers and you may not receive feedback. But overall a great introductory course.

I really liked the material in this course! It was very helpful to gain a base understanding around big data and the potential insight and uses that come from tapping into it.

In terms of the assignments and projects, I think the strategic approach to helping firms tap into insights from big data was a little bit vague.

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.

I was reluctant to take the course, but it was actually nice course easy to grasp and have a general overview about the concept of data and analysis. I liked the cases presented from PWC however they refer to cases quiet old (2013) so I wasn't sure whether similar approach is still being used now.

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.