There were some useful examples in this course. But overall this course and the entire specialisation rely too heavily on Excel which seems a bit outdated when data sets are so much bigger these days (than the ones in this course). Based on the requirements of companies hiring data and business analysts the expectation for anybody who wants to work in this field is in at least one or more programming languages.

The explanations on videos are not as precise as I needed. And so far it has been the course with less content I have took in Coursera. I think, videos can be done again to be more agile and introduce information missed. Also, the test were not so clear. I got good grades but answers were ambiguos. I think you need to structure questions in order to know what you expect as an only answer.

The lectures were quite good and I learned a lot. However, I found it difficult to understand sometimes what was wanted from in the quizzes and I ended up taking them several times in order to pass. I would recommend that providers examine the google support certificate model of using labs to practice and learn with smaller quizzes interspersed, even within the lectures themselves.

This course needs tremendous improvement. In contrast to previous fundamentals of quantitative modelling module, this lags in lot of areas. No clear explanations and the quizzes are worded super vague and filled with with bugs. I expected a lot under Monte Carlo Simulation. However, too simplistic example and explanation was presented. The topics were not introduced clearly.

Concur with many of the forum comments. There could be more extensive course materials in the actual lectures to reduce the amount of self study and information scouring around the quiz. Fill-in-the-blank format for the quiz is rather problematic and perhaps overly challenging for this platform. But I did appreciate the introduction to modelling specific functions in Excel.

course content needs up gradation in terms of examples . Linear programming is a huge topic, needs more materials/explanation. Similarly cash flow modelling lecture provides high level overview , please add more examples and more assignment questions. Also please provide detailed workaround post completion of the assignments for the questions one could not answer.

Videos presented were structured in a poor way. Announced topics were not at all fully presented. Quiz was not at all covered by video lectures, though quizzes themselves were rather interesting, weak point is that you cannot check yourself by going through the lectures, sometimes you should guess if you got the logic of the question in a right way.

The professor of this course expects you to read his mind too much, preferring to skip through explaining his reasoning for solving some problems, such as calculating risk with the Empirical rule. He also mentions subject in the course outlines which he is supposed to lecture about in the course but doesn't, or just expects you to learn it yourself.

Exercises should be better designed and I think that first week of this course and the whole previous one are too basic. They could be assumed for 99% of people and I think it would be a good idea to create an optional preparation module containing them. That would save time and perhaps open opportunities for more advanced material to be included.

The exam answers were not clear.... The were questions not related to the videos. This was an excel course and no excels were available to download, just PDF. In the other two courses (Quantitative Modeling and Accounting Analytics) the excels were explained and available for download. This was an excel course and no excels available.....

Many errors in the quizzes made this course a disaster, although the course staff was eager to correct them as more complains in the discussions arrived. Being the second course in the specialisation, it doesn't actually live up to the expectations as it mostly covers the very basics of the excel functionality in terms of modelling.

Most suitable for people who have had very limited exposure to spreadsheets. Anyone that has spent considerable time working in Excel will find this pretty limited. The final portion of this course (Monte Carlo simulations) was the most interesting part, as it got into the more statistical functions and the Solver applications.

In the end of week tests, some of the questions were ambiguous or not thought out. No formatting suggestions were given for answers you had to type yourself which makes it difficult for students to understand what sort of answer is expected. Aside from the technical issues the content of the course was good and well delivered.

I had some problem with typing the formula in the quiz as the formula typed was also correct but the program told it was wrong one. And I could not contact any people so I had to try my best to find what formula you used. And I think that if you can add more description about the answer it would make a clearer understanding.

Overall this course is good, especially the last two weeks of the module. However, the examples are not very strong (Week 1 and Week 2), videos are too short for the most part and I find the tests are more robust than the lectures (I think both should be robust). I do appreciate that this module has extra materials to study.

This course could work better as either a longer course with more examples, exercises, and step by step instructions in excel, or as a smaller part of the first and third courses in the specialization. The content is good and the examples are properly explained, but it probably doesn't warrant an entire course of its own

The quiz questions are poorly organized, it would be better if some guidelines for the form of answers were provided and I do not believe it reasonable to have questions that the professor did not specify, overall it has been an unpleasant experience for me, sincerely wishing the quality could be improved.

Decent introduction course however examples are very simple as well as the models that are constructed. I understand being an intro course the content needs to ease people into the subjects however, more realistic and real-life examples are necessary to take the material from this course and apply it.

Lots of errors in tests when writing out excel formulas, many times I knew I was writing the correct answer and would always get the problem wrong. Also, professor seems to spend a lot of time on basic excel inputs and formulas and then rushes through the more complex concepts at the end

The quizzes were giving me a hard time. Some questions included write-in questions where you'd need to type the Excel formula and even though I knew the formula I wrote works, it would be marked incorrect. This is very frustrating because at the end of the course you get a grade.

Level of complexity of lectures was very low for Modules 1 and 2, and yet the quizzes were pretty in-depth. Similar issue with Module 4. Seemed like lectures had been simplified too much to convey the necessary knowledge to competently (and confidently) complete the quizzes.

I had higher expectations from a school like wharton. My biggest issue is the fact that the feedback does not provide any explanations and the staff's only help is go back and rewatch the module. Especially when the modules don't hit on everything asked in the quizzes

While I really enjoyed the first module, I was less impressed by this one. Have the course is very basic, while the rest is just too brief and not practical enough. I will however continue with the courses and expect the next module to build on the one reviewed here.

Overall it is a good course, however, despite assuming minimal knowledge of Excel Statistical Modules, it offers little insight and practice. I would prefer a more in depth approach (for the advanced), or more exercises for those getting familiar with spreadsheets.

Since spreadsheets is a practical thing so just from watching videos and MCQs can't make you understand the subject , therefore I would like to suggest coursera to add a practical question in the test which includes making a spreadsheet like a capstone module.