Avis et commentaires pour d'étudiants pour Mastering Data Analysis in Excel par Université Duke

This Course has the wrong title, as many others mentioned prior to me. It was a lot about statistics and math, but the thing was that none of it was explained very well. It was unorganised and sometimes had crucial mistakes in it, which wasted a lot of my time. I give it two stars, because I learned a little Excel.

The course name is very misleading. While overall it is not a bad course, I believe a lot of people come here expecting very different material. Let's just put it this way: Mastering Data Analysis (mostly things to do with probability) with occasional use of Excel. Do not expect to learn anything new in excel.

Course did not meet any of the expectations. Neither Excel nor the analysis part. Should have focused on one of the aspects to make it more stronger. In my opinion "deviated" & stressed too much on statistics and model building (regression, logistic regression etc.) but did not do justice to that also!

Does not teach Excel very well while tryng to apply the basic usage instruction to not too difficult problems. The ability to interface with Excel after some knowledge of Python/R or other programming languages would be helpful in the Data Science programming that is increasingly being promoted.

This class required far too much independent study. The instructor did not provide enough instruction or reading material to complete the quiz each week. There was too much focus on the conceptual data with very little emphasis on practical application of the material.

This course is doable if you have prior knowledge of probability and statistics. This is not for beginners and should therefore by reclassified as intermediate and above. I am sorry I enrolled in this course. I have truly hit a brick wall and can go no further...

Way too many abstract concepts that are not relevant to the challenges that I encounter in my day-to-day role. I wish this course would actually show me how to solve PRACTICAL business problems.

The 2nd part of the course is not enjoyable at all. Sorry.

There are dozens of formulas, but almost no examples and clear instructions of what to do step by step and explanation of how we can apply obtained knowledge in real world. One exception is the Markowitz Portfolio Optimization which is great.

This course is only supported by a course of data analytics. It should clearly state that advanced statistics is a prerequisite knowledge. I expected to learn advanced excel techniques, not to be required to know statistic models to apply.

Poorly explained , you don't actually learn much excel . They just continuously provide spreadsheets for you without teaching you how to actually use excel for data analysis. Would not recommend for beginners wanting to learn excel.

I feel that the course does cover adequate topic to improve our mastery of data analysis in Excel. The course is more focus on the statistic and probability theory without giving adequate explanation on how to work on Excel.

Extremely challenging to put so many concepts into one course.

I have to do my own studying and research outside of this course to catch up with.

However, it is a good start to follow what need to be learnt for data analysis.

In light of R or Python, doing statistical computing in excel is really time consuming and backward. The instruction might be OK, but I lost interest beginning of week 2 seeing how he build binary decision model in excel.

Lectures are messy, and assume more in-depth statistical knowledge than they have led-on in the course requirements. Quiz questions are also sometimes poorly explained and requires digging into the forums for corrections.

It is an okay refresher for Excel basics. But not a very good course for teaching you how to make a model using excel. The statistics and probability portions of the course were okay but definitely not taught very well.

Great class. However, there are some serious data mistakes in the projects. Please take the time to review and correct the errors throughout the course. It causes unnecessary confusion for the students.

Videos fine. Quizes impossible to understand unless you take previous courses and have time to go through forums and more extra staff. It takes a lot of time. Not suggested unless you have it.

I expected far more handy real life Excel examples, not to see a teacher speaking and writing stat formulas for hours.

The idea of this course is very good, it has some room for improvement.

This course is too focused on specific real world applications like confusion matrix and ROC curves that are very useful. I would rather spend more time learning actual features in Excel.

Final project almost impossible to do with material taught. Also, each lecture comes with an additional spreadsheet that needs to be studied. Material taught doesn't match material tested.

Very confusing stuff, need better clarification in course description and the way the material is transmitted to the student need to be reconsidered

But very well made and interesting.

El curso no ense;a cosas prácticas en el análisis de la data. Además el enfoque es muy financiero, tomando en cuenta que no existe solamente el sector privado sino también el sector

Not quite the excel actually relevant to industrial requirements. had to leave the course mid way.

There are better Excel DA courses out there. Concept presentation was good though.

Very little to do with Excel, mostly focused on statistics with brief overviews of how things could be done within Excel, but very little focus on actual Excel use and knowledge.

The lectures are poorly delivered. The quizzes are ambiguous. The files available for download are erroneous. It seemed the professor was not paid for this course. Stay Away!!