Content is not well organized, videos are disconnected from one another, explanations are not clear, spreadsheets contain vast information that is not explained anywhere. It is been quite difficult to follow through the course and I bet many students are giving up.

Being honest, the lessons in the course are disconnected with the weekly tests, specially for the final exam. Professor Daniel Egger and his assistan MUST improve the lessons, including examples step by step specially for the multiple linear regression su

Not very helpful for those with a solid statistical background. I prefer to use R to do the modeling things, while this course should talk more about pivot tables and existing useful financial functions which advantage over other statistical tools.

Really unhappy with how difficult and over complicated it is. I came here to learn about Excel. Pivot tables? functions? The course really loses focus and its unfortunate that I am now stuck here and cannot continue the entire specialization.

I can't even convey my frustration. Terrible course with a terrible teacher and misleading name. At the end of the course you don't learn any practical skills in Excel. Just avoid this course if you looking for practical knowledge

Very confusing lectures, he says you don´t have to have a basic level of excel to do the course but I didn´t find that true. Struggled through all of the lecture videos and the quizzes seemed to come out of left field.

No concept was shown in Excel, it was just like paper and pen, the traditional one. And the professor was eating half of the words in between. Please explain all the concepts using excel. this course is a total waste.

In the course info this is described as the first course in the series and that it requires no prior knowledge but the first week quiz contains questions referring to an equation 'discussed in the previous course'.

Given this is the third (or fourth) iteration of this course, it's telling that the errors from the original release remain in the videos and quizzes. There are other, higher-quality Data Science MOOCs available.

The Audio is not audible properly and the course material is not explanatory. The content and the quizzes or tasks dont add up. I had to often refer to google to find the modeling ideas.

The course structure is not thoughtfully prepared. There is a lot of confusion around what the instructor wants to say. The practice quizzes and course content have no match whatsoever

Don't know how to apply the statistics and excel formula in real world situation. Besides, it becomes focus on approving statistics equation than teaching data analysis in excel

En mi opinion es un tema muy interesante sin embargo cuesta entender lo que el profesor está diciendo por lo que es muy dificil llevar el ritmo del material...

Poorly coordinated lectures. References to resources that are not provided. No response (at least, for days on end) when questions are posted on the forums

Interesting statistical concepts, and great theory. However, the lectures and the quizzes do not prepare the student well for the final project.

Terrible course, almost no focus on Excel and the lectures were incomprehensible. Please redo this class with Dr. Borg teaching it.

Where is the course study material and are you providing a book on this subject and Excel? You have me lost.

absolutely one of the worst courses... I am deleting it from my list.

no slides make it harder to follow.

the course neither explains statistics properly, nor teaches how to use excel effectively, disappointed

This is more of an introduction to statistics lesson than one in excel... not what I had signed up for

Not enough detail and information provided in the lectures to undertake the final assessment.

Really confusing and struggled a lot. The course doesn't prepare you for the final project.

I would not recommend this course. It was very poorly planned and seemed thrown together.

completely not relevant to my educational background. Highly very tough to understand.

if you do not have a background in statistics do not expect to pass this course