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

This course was tough, but I dont mind a challenge. But what I found frustrating about this course was that first the quizzes were often inconsistent with the lecture material, the TA's were less helpful than my fellow classmates (without whom I would not have made it through the course) and the final was an IMMENSE challenge that took over my life for about 1 week - despite the calculation by the instructors that it would take 6-8 hours. I did give it a few stars because I honestly did learn things I did not know, and I understand the value of the application of what was taught for modern businesses. I have been informed that the course is being reviewed by the instructors for strengthening and I 100% agree with that direction.

A lot of math and material that is not that easy to understand. If you thought that you would just be taught how to design data in Excel, then no, there is a lot of math waiting for you. Sometimes the material the teacher tells you does not match the examples on the Excel sheets and you need to figure it out by yourself.

I also didn't like that in weekly tests Excel sheets have to be loaded during the test. That is I lost enough time, because my Excel takes a very long time to open.

Especially the course is not very clear for those for whom English is not their native language. Some functions have different names in Russian, so it takes time to find the right function.

The course title is misleading. Various statistical methods are introduced in this course without much thought to ordering, then presented in pre-made Excel templates that are used for the course's final project. The analysis techniques are worth learning, but their connection is not clear, and the difficulty spike from the first week to the second and especially the final project is high. Additionally there were some mistakes in the course that lead to several hours of wasted time in preparing the final project. Prof. Eggers is obviously very knowledgable, so if you are willing to invest more time than the average, this course may be worth taking.

Beware this course, especially if you are new to this area (despite what the course/specialization says). There are very few examples to clarify and illustrate the different topics of the course, but what's worse is that the assignments are almost completely divorced from the instructional videos; the assignments and especially the final project are much more complicated than anything presented in the instructional videos, so there is no knowledge basis from which the student can operate to complete the assignments/projects satisfactorily or smoothly.

I am extremely dissatisfied and wish I hadn't paid for this specialization. Beware.

I am sorry to say this, but the tutorial could have been organzied in a much more serious way.

I do not know how much time the Professors have put on preparation. But it gives me a "sloppy" impression!!! The class carries the name of University of Duke and 70 euros are charged, so I think the learners would reasonably expect to see that the teacher puts lots of time to organize the course structure, in order to efficiently give as much as information to the learners within limited time!

For example, I believe nobody would not say that the Week 2 content on confusion matrix is very consistently explained. And this is just one example.

The lecture videos are not super helpful and the instruction and support for final project is somewhat lacking. You need a relatively solid background coming into doing the project beforehand. Just study the course material is not enough for you to complete your final project, in fact you need peer help or to read more materials to fully understand and finish the project. The quizzes compared to what is asked in the project is too simple and thus not constructive enough in the overall learning. Overall I would recommend you to have a solid background before proceed with this course if you want to improve your learning experiences.

The material is sort of interesting but there is not much hand-holding. I actually am an Excel beginner, and have merely an average grasp of mathematics. Before signing up, I read the prerequisites - there were none! It is advertised as a class for beginners, but I have found it beyond frustrating, and whats more I pre-paid for the specialization so this Excel class and the final project seem to be an utter waste of money without me going off to study Excel at length before trying the course again. Why not label it as an intermediate or higher class? I feel there should be a more obvious indication of the difficulty.

Only Suggested. If you've studied Maths/ Statistics in your undergrad, or if belong to a Commerce background. (That is the limit!)

And mind you, there are many glitches. Many.

There is no continuous flow; the video is not good; the audio is not good; the instructor seems way more casual and relaxed (even did a 15-20 second dance, can you believe it?!)

And sure the things taught and the things asked, are quite different from each other. But maybe if you've the 'needed' background, you might do it just as well.

Anyhow, if you do finish the course at last, it's all worth it.

I guess!?

This course has lower quality then others in specialization. Warning: it is concetrating on math not on Excel. This fact isn't bad by itself, but there is a big gap between video materials and quizes. There aren't enough practic examples which allow you to do graduated exercise confidently.

More than that there are a lot of cases of inaccuracy in automatic quizes and only forum discussins can hepl you understand that there is no your mistake.

Also sound is not perfect (in other courses it is much better) like it was recorded with home mic not professional.

The course material is very interesting and important for learning the mechanics of data analysis. However, the course organization and presentation is sub-par. Course assignments are often explained poorly, incorrectly, or not at all. Course videos are poorly organized and often difficult to follow for many reasons. After also completing another course by this instructor (Mr. Egger) I would steer clear of the courses that he teaches, if possible. When the learners in the discussion boards teach the material better than the instructor, there's a problem.

It has a lot of problems, including: Not so many lectures about excel itself - most of the time you will be watching videos about statistic methods. The lectures are very superficial, even though the quizzes and projects demand a lot of knowledge and time. The course seems to have a staff of one man: the professor of the course rarely replies (even though he did at the beginning of the session) and all the work seems to be done by his assistant, who tries his best, but ends up not coping with all the questions asked at the discussion forums.

The content is really interesting and useful. However, the way in which the lessons are organised I'd say is confusing. The professor explain you complex concepts like entropy or binary classification to continue with an excel worksheet. It's here where the issue relays, the excel files are filled and instead of learning by doing you have to figure out how the prof made the file. In consequence, the solution is always available.

In my opinion, it'd be better if a raw data set is given and you build the model step by step from the scratch.

Though the course teaches important topics, I found the practical part of it rather lacking. The videos are mostly about the theory, using algebra and all that, but the exercises are on Excel spreadsheets that either you don't really need to do much (change a number here or there) or, when you do need to really work on it, there's no instruction provided other than the discussion forums and an one-page PDF. It was very disappointing, prepare yourself to spend a lot longer on this course, just trying to understand the spreadsheets.

The course is very poorly laid out. You are encouraged to work on your final project each week during each module but you don't learn important key elements to complete the final project until later in the course. I enjoyed what I learned in this class, however, stating there are no math prerequisites is misleading. If we were taught the concepts only in Excel, that would be one thing, but to hand solve these statistics problems by hand it really hurts the learn because the professor is speaking above most everyone's head.

I think the learning objectives are good for the class but feel this course doesn't live up to the expectations. Personally disappointed in that we weren't taught how to build the Excel sheets and tools ourselves but rather were given ready made sheets that needs to be interpreted to be understood. I also believe that the quiz needs fixing as most if not all require checking the forum for "mentor hints" to fully understand what's being asked; in some cases, these don't help as the quiz has been changed/updated.

Actually a nice course but I feel completely lost with the last and final assignment. I looked through the forum, there are good hints but i still don't get it. It's frustrating that for the really hard stuff you don't have any explainatory videos from Prof. Egger so you can comprehend the material better.

I understand that one has to try to work out a solution with the methods given but a explanation of the difficult stuff afterwards would be quite helpful sometimes.

Great information, but poorly executed or explained. There was inconsistencies in the quizzes and which resources to use. Information that was not updated over the lifespan of the course. When the course was first created there were errors found with the information provided. These adjustments were implemented but not updated in the actual course so the only recourse to find out what to do or which spreadsheet to use were only found in the discussion forums.

It is best to have a strong statistical background before taking this course. Lots of statistical calculations and procedures. If you don't have a strong background in statistics , there is a good chance you will get lost at some point in the course. There is no questions that the instructor of this course is an accomplished mathematician, I just found it hard to follow his lectures as he got deeper into various statistical aspects of the course.

Much work needs to be done on this course to make it friendly to learners. The quizzes and assignments do not align with what is taught in the lessons. Further, the content in the lessons does not even show or explain what is expected from the learning.

I spent the majority of my time exploring the discussions to discover what I was supposed to be doing and the rest of it on Google teaching myself the concepts that were not taught in the course.

The professor jumps from subject to subject like if he assumes that people know the stuff he is teaching. Sometimes he goes on about something without telling you why he started talking about it, how it will be used, what is its relations with the whole course or at least that week's course. He even goes on to start the definition of a concept but then starts talking about an example and does not go back to the actual definition or use.

First of all, it's important to point out that this course hasn't got a lot to do with Excel. It's more about statistics.

I am somewhat disappointed with this course. A lot of the assignments and tests were unclear, and it was hard to get clarifying information that will help you proceed. I was often left confused about some of the topics. Nevertheless, I learned some techniques that will probably be prove very valuable in the future.

I found this course too advanced for my level of familiarity with statistics. Its true that most basic stuff is covered to be fair, but the progression is very rapid.

As I work long hours and other commitments I didn't have enough time to dedicate to study beyond the time needed just for this course. If I had been able to study an extra 10 hours a week practicing using the formulas then I'm sure I would have got more out of it.

The description of the course series does not adequately represent what is taught, more details up front about the material covered would have helped set expectations. The first course in the series focuses primarily on terminology, with little practical application. Almost all of the material was on finance & accounting.

In week 2 of this course, I realized this wasn't addressing what I expected and dropped out.

All theory. Quizzes you were left with the task of answering questions based on models never seen or explained spent most time trying to make sense of them. Final project is almost a joke to try and decipher how to create from scratch based on the ones they provided in the quizzes. Its not a joke but it is very difficult when the actual excel and model making isnt part of the lectures.

So many equations presented without explaining why these things work or how they are derived. I'm having a hard time seeing the relevance. Also, I learned a lot of these statistics in college and the explanations provided in these lessons actually confused me about things I already know. Very disappointed in this course. Especially since part 1 of the specialization was so good.