e

V

T

v

This course was a very informative base for the specialization. I enjoyed the videos, but I wish there was a little more hands-on work to put my new knowledge to the test. The multiple choice quizzes were fine, but my learning style is much better served when I have to apply my knowledge in a real-life scenario. All that aside, I was very excited to learn about the different career paths in the field of data analytics and I feel motivated to continue my learning through the specialization and other courses to consider pursuing a career as a data scientist.

This is a very quick and effective class to teach you the language and concepts within business metrics. You will also hear descriptions of data-related jobs - what are the roles and differences in skills applied - and these jobs are fairly universal across all industries. The portion of this course that could be better is when the professor throws a bunch of math into the content. It is basically irrelevant to this course, and in and of itself it is so rushed and introduced so out of context that it is very confusing.

Very good introductory course to KPIs (metrics), big data, data analysis and its job roles

There should be a proposed solution for the final peer assignment, that is unlocked after the learner completes the final assignment, maybe a little Excel file with numbers could help to make it better

Some little errors on the videos and subtitles, the resource PDFs should be packed in one file of Course Slides / Notes

The Glossary offered in different perspectives is a good idea

This course is great on introducing the basic of business metrics that apply for business. But I think this fundamental knowledge is not quite enough to help me identify real-world business problems and provide solutions with detail analysis on my own. It would be much better if the course dives deeper in the business side with a real challenge project. To be honest, I also like Duke University and I'm grateful for the team's hard work.

I think the course is useful in evaluating the organization's metrics, the instructor also introduced the trend and different roles in modern and big data company. But this course doesn't involve any excel or SQL function, so I marked it as 3 stars mainly because I would like to study some technical skill from the course. But anyway, this is a course worth to learn, especially for the big picture of the business metrics for data.

Excellent course for beginners. The course gave me a holistic idea of what is required of you to become a business analyst. And at an initial level, this course has given me proficiency over the various metric being used to analysis businesses. However, the only con I found was a lot of week 3 content seem irrelevant, maybe a proper bridge as to why am I learning that weeks content would help people take it up more efficiently.

The best course for Business Analyst professionals and this course specifically emphasizing on the key elements of core metrics for any organization to succeed in the marketplace.

Great insights on how to derive insights from the data and how to deploy effective models to leverage the best information out of data.

Faculties knowledge is clearly evidenced through their delivery on selected topics.

Enriching learning experience...

Good introductory material. I gave it 4 stars instead of 5 only because most of the material was not directly relevant to my business world (pharmaceutical development).

Anyone working in a financial environment or in web-based marketing will learn from the business metric examples given.

The investment portfolio metrics are useful for anyone who has personal investments, even if you are not involved in finance professionally.

Pretty good from a conventional point of view. Am looking forward to the next courses with hands on excel and mysql use. I would contest the value of profit metric as it is too broad and overlaps with the revenue. Have a look at the Theory of constraints for a refreshing non accounting (but reconcilable) view of T, I and OE as well as errors of omission and errors of commission (TDD, IDD) on the risk side

I liked the instructor prof Egger's delivery of the course content. For someone who comes from a design and pm background, learning the fundamentals and terminologies around how business metrics are used in more context was good for me. The examples were easy to grasp, although I think the mathematical concepts do require some further research and reading. But logically it wasn't too overly difficult.

The instructor was great. Although I passed the peer-reviewed section the first time, seeing that one reviewer gave me zero points for clearly correct answers was very disconcerting. If you got enough reviewers who don't understand the assignment, you could be in for some annoyance. I would prefer to be graded by a professor. I understand how that's not possible with so many students, though.

Great course with lots of practical information regarding finding work actually using the material.

More actual case studies and less portfolio theory would have made the course a 5/5. Too much portfolio theory for a class on business analytics: Most people taking this class will never desire to work or have the opportunity to work for an investment bank, so I found it a bit irrelevant.

The course is good way to start the Data Analytics. Everyone before venturing into Data Analytics with lot off doubts should attend this course and it will clear the doubts.

The teaching team should provide some downloadable slides of the text shown during the presentations. Coursera can recommend for slides similar to slides in Entrepreneurship Course provided by Wharton Online.

I provided my review in my final survey. I think the assessment needs to be more detailed, because when reading peer responses it seems that a lot of people didn't grasp the concepts very well. Nor knew how to structure a business proposal. Most answers were "technically" correct because the questions we were grading didn't ask for specifics.

Lots of great technical information that was accessible for me, a chemist, to understand and integrate. My main complaint is with the presentation. The speaker was so slow that I had to run all videos at 150% speed to keep from falling asleep. Though, since that was possible, it turns out his slow speaking wasn't really an inconvenience.

Good course, there have been some changes in the "market" and a few quick updates would be ideal. I do not see where the value is in learning investors and their math, not used in the final projects and not truly relevant to this general course, unless you are a finance, MBA or other such major or looking to take courses with this content.

The course was full of key, relevant topics. The videos were well produced and included helpful examples to explain the material/concepts being taught. The only suggestion I have is to include more hands-on examples for students to work through, especially related to the calculation of the financial business metrics. Interesting course!

Course material was concise and very relevant. The examples mentioned in the course were also very relevant. Really enjoyed the Eggar's coffee roast case study. Amazing professor! Would have loved to get access to some data in the graded assignment and actually solve for the problem. With that added, this course would become perfect!

This is a great course. Very helpful in understanding Business Metrics better and at helping create a foundation in big business and data. Some of the videos around the specific numbers were a little vague on what was an example and what was an actual metric. All things considered, still well worth the time, money and effort! :)

This course provides an good introduction to common business metric. It provides real world and fiction example that help solidify the concepts being introduced. The lectures are easy to follow and quizzes help reinforce what student learn. The concept that I've learn will definitely help advance my career in business analysis.

This is a great course, and a wonderful introduction to the world of Business Metrics. I did wish it was more data driven (in that I really thought there would be more Excel work), but I'm glad that I took this course because despite the lack of data in numbers it has set me up to do well in the rest of this specialization.