This course was very informative, but in my opinion it has a very steep learning curve. The course takes some very steep jumps from basic concepts to building binary models with out a lot or guidance.

The course is not bad, however, the final assignment is not explained sufficiently. Instructors should provide a more clear approach and information given that this course is for beginners as well!

Too much math makes it difficult to comprehend. I like week 1, basic excel also practical and easy to understand. But after week 1 everything becomes super confusing... The frustration is real.

A good course to understant the business analytics, however, a complex maths basis. Also, the final project it was so confuse and don't relationate at all the topics studied in the course.

This requries you other mathmatic or stastical background. So when you choose this course, you need check if you have master these knowledge. Otherwise this course will be so hard to you.

The concepts that this course offers are extremely interesting and useful, however I think some of them are not fully explained, so you might have to do more research on your own.

the data in this course is more as methodology than descriptive, he should have explained more about the real use of methods in data analysis because you will stuck a lot

Lectures were good, but directions and guidance for quizzes and project had some knowledge gaps, had to utilize outside resources to understand complete certain concepts

Quiz does not require hands-on experience of creating templates but rather simply plugging in numbers. Students may forget most of the content after finishing the quiz.

The course is good, but in some aspects over-complicated. I requires deep understanding in statistics and give not many insight regarding the Excel functionality

not easy and enough documents. It does not teach excel. Excel is a bait for the ones who want to learn excel. The name should have been mastering data analysis

The course gives you interesting analysis tools, but the title suggests you are going to learn new Excel tools, and you actually use it at a very low level.

Getting more theoretical and less practical application on Excel application. Advanced Data interpretation and solving methods information can be included.

It was hard to follow along with the lessons, because it was mainly present in formulas. More examples might help students relate the information better.

Nice working material, however lectures don't go into deep, so you have to do a lot of research on your own and figure out what's going on in many cases

Not so good. The course explains mathematical models and Excel applications but both are not detailed. There are many mistakes in PPTs and assignments.

I think that this course was a great overview, but it wasn't that clear on how it all tied together and i don't think there was enough practice given.

It is great for learning statistics, but not so much Excel. Also, it doesn't prepare you very well for the final project, so pay attention to class!

Week 4 is chaotic, it leaves much to be desired. It's quality is far a way from what it could be expected for a course endorsed by Duke University.

Course only drilled down on specific aspects of excel that were inclined to regression analysis which is just one aspect used in business analysis

I found it difficult to understand some concepts and felt like some of the concepts required for some assignments were not covered deeply enough.

This course is good, but I feel it's too difficult. It would be good to suggest 'optional' prerequisite course if there is any. Thanks Dr. Egger.

The course is good. However, the name might be slightly misleading since the major emphasis is on statistics and probability, rather than Excel.

The scribble of the calculation is not helpful for learning. Would like to know more about how to build the models in excel through the videos.

Good material but short explanation and no detail exercises and solution practices before the final test makes the test a bite hard to resolve.