The questions are poorly worded could better correlate with the lecture.

The course is fine but very short videos and lack deeply explanations.

Some points (at least those mentioned in the quiz)are not so clear.

It is quite basic and sometimes the quiz can be a little confusing.

Just wish to have some concept check before taking the quiz.

It was not challenging. Could raise the difficulty a little.

The material is not up to what is explained in the videos.

The course does not make you learn spreadsheets in detail.

Questions are just not related...and "Random Generated"

quizzes were poorly written but interesting content

Some Quiz questions were a little bit open ended

Students need more explanation and practice.

Content is good but not practical enough

too superficial in the discussed ideas

quiz design is extremely confusing

A bit too basic at the beginning.

Material is not deep enough.

Good course overall

No implementation

Good introduction

Poor quize

better

The Wharton School and Penn by extension has taken such tremendous effort to put together a great on-line offering. Some of their finest professors have made some of their rigorous coursework easily accessible via this platform.

This course however is one of the weakest that I have experienced both on this platform and from The Wharton School. The material covered is indeed dry in nature but the lectures - uninspiring - make it more so. The quizzes, designed to test your retention and understanding of material covered are ambiguously worded and not at all helpful in developing skill level around modeling. In more than one case, students are asked to write formulas that can use input data to create an output that will help make a decision. Many correct formulas are not recognized as correct by an overly rigid set of data in the grading system. That creates confusion - not helpful in developing skills.

Words such as "simplify" and "logical" appear in quizzes. These words are subjective, so the "logic" of a student may be different from the "logic" of the professor. Again, creates confusion.

It could be that one of the objectives of the professor is to get the student to think differently about modeling so as not to be overly linear. If that is the case, that is a good objective. However, whatever the objectives are - they are not clear nor directly put.

If you have little experience with financial models you will likely find this course to be both confusing and frustrating. If you have had some exposure to financial models you may find this course to be even more confusing and frustrating.

Unfortunately, I have to say I was disappointed with this course. Especially right after doing the "Foundations to Quantitative Modeling", which held a high standard containing very thorough- and clear instructions. I felt that parts of this course were not explained thoroughly enough which made it feel very "jumpy" and abstract. -This was then later verified in the tests where the question/thought; "did he even go though this?" often arose. Furthermore, the excel sheet that can be opened by oneself, on the side of listening to the videos, or reading the lessons, sometimes didn't fully match the one you saw in the video lesson. -For example; the reference points could be different.

Now I'm hoping the next course is more like the first one, which I very much enjoyed!

Contents of this part of the Specialization looked very promising (especially after a brilliant first part) but in reality this Introduction is shallow, rather monotonous, and I always had a feeling that it's like a patchwork and not something integral. The best part is that it doesn't take too long to complete, and the bulk of the time you spend decyphering the meaning of the questions in quizes (and at least some commentaries in answers would be great because this is not an exact science like math and there are a lot of possibilities for interpretations) . All in all, there are a lot of much more useful courses on Excel for models. I hope that other parts of the specialization will be closer to the 1st one.