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 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.

I am a student with a computer background. The course was good but for me, I needed more explanations on statistics and business metrics.

Needs a more cohesive approach. Topics seems to be unorganized and don't follow a good pattern. Concepts taught are very helpful though.

This course has a lot to do with math and statistics and I find it really hard to follow especially when it comes to the final project.

Quiz is very difficult without mentor explainations, lots of stuff wasn't covered in lecture videos. Honestly a very frustrating class

The title of this course does not suggest the topics that are covered in this course. Anyway, the topics covered are useful .

A little more emphasis should be given to the explanation of basic concepts so that beginners can also understand it easily.

The whole course has very little about excel, rather about aweful a lot of data models. The course title is very misleading.