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

4.2
étoiles
3,615 évaluations
860 avis

## À propos du cours

Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cover Excel Macros, Visual Basic, Pivot Tables, or other intermediate-to-advanced Excel functionality. This course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected. Your first model will focus on minimizing default risk, and your second on maximizing bank profits. The two models should demonstrate to you in a practical, hands-on way the idea that your choice of business metric drives your choice of an optimal model. The second big idea this course seeks to demonstrate is that your data-analysis results cannot and should not aim to eliminate all uncertainty. Your role as a data-analyst is to reduce uncertainty for decision-makers by a financially valuable increment, while quantifying how much uncertainty remains. You will learn to calculate and apply to real-world examples the most important uncertainty measures used in business, including classification error rates, entropy of information, and confidence intervals for linear regression. All the data you need is provided within the course, all assignments are designed to be done in MS Excel, and you will learn enough Excel to complete all assignments. The course will give you enough practice with Excel to become fluent in its most commonly used business functions, and you’ll be ready to learn any other Excel functionality you might need in the future (module 1). The course does not cover Visual Basic or Pivot Tables and you will not need them to complete the assignments. All advanced concepts are demonstrated in individual Excel spreadsheet templates that you can use to answer relevant questions. You will emerge with substantial vocabulary and practical knowledge of how to apply business data analysis methods based on binary classification (module 2), information theory and entropy measures (module 3), and linear regression (module 4 and 5), all using no software tools more complex than Excel....

## Meilleurs avis

JE
30 oct. 2015

The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.

PW
13 oct. 2020

The course was excellent. A little difficult and overwhelming at times but as long as you stayed the course the professors gave you every opportunity to succeed. Thank you for your time professor.

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## 751 - 775 sur 839 Avis pour Mastering Data Analysis in Excel

par Kong L

21 janv. 2016

This course is mostly theory based and certainly not what i am expected!

par Bria M

16 août 2020

Video lessons did not prepare students for the homework assignments.

par Nazish K

3 mars 2016

This is definitely not a course for beginners .

par Achilleas B

19 oct. 2020

Hoping that next courses will be more useful.

par Edward J B

28 nov. 2019

Not what i expected for my analysis via excel

par yishu s

4 mars 2016

This course contains too few solid content.

par Mathilde S

2 janv. 2021

NOT beginners level and errors in material

par Yvonne C

5 mai 2016

Too difficult. The lessons go too fast.

par Francesca M

16 nov. 2020

Won't apply to my job in any capacity

par Michael D

7 mars 2016

Week 1 a little disapointing

par Kecheng J

8 juil. 2019

many irrelevant content

par Yi L

9 mai 2016

par Scott M R

13 juin 2016

When the instructor for the course expresses amazement at the level of difficulty people are expressing in the forums that tells you a lot about how out of touch he is with what he is teaching and what is really required prerequisite knowledge.

There is minimal actual instruction in excel-most often concepts are taught much like Khan Academy, on a digital blackboard. Nothing inherently wrong with that but when your course title has the word 'EXCEL' in it one would reasonably expect the instructor to actually demonstrate using excel. Nope, not here.

If you've never heard of linear regression or Bayes Theorem don't bother with this course. Honestly. While those things may be easy to explain without the math they are very difficult concepts to implement and a simple 10 minute video won't clear the fog.

You absolutely will not 'master' data analysis with this course. I've used Excel for over 15 years, daily, and to have the gall to say your course will 'master' something with a few videos is misleading and deceptive.

If it wasn't for the TA/Mentors who do the lions share of work in the forums answering questions and deciphering the questions so students can understand them this course would be an abysmal failure.

If you're wanting to jump on the data analysis/ scientist bandwagon look elsewhere. i.e. EdX has a great course on a true introduction to data analysis that is more in line with people's impression of actually using excel in that context.

Now, having bashed the course I do believe the instructor to be a very competent and knowledgeable individual, but I feel he's been in academia too long and has grown accustomed to teaching those who've been in school continuously and still have algebra/ stats fresh in their minds vs. those who need to brush away the cobwebs. The course in more on the level of a 201 and in certain parts 401 level but not 101.

par jean a m c

7 mars 2017

I´m quite disappointed in this course. First you should know that the first week doesn´t reflect at all the rest of the course in difficulty and in matter. As I was delighted by the first week presentation and way of explaining as soon I started the second week I was wondering what happen to the clear, concise examples and ideas presented in the first one. First The presentation of the following weeks is done by handwriting on software that give a very very poor graphic view. It´s BARELY READABLE ! It allows really smalls amounts of infos to be displayed. That could be redeemed by good explanations you may say but sadly it´s not the case most of the time. The examples are rarely connected to something real, numbers come up from ... nowhere. The level of difficulty could be challenging if you don´t have a bachelor of sciences like Math or Physics or Bio. It´s NOT A BEGINNER COURSE.

To give more context I have done and succeed more 16 courses , 2 specializations, followed/audited about 3 others courses and that is the first time I´m giving a bad review. I´m sure the teachers put a lot of effort in doing the course , there is a lot subjects presented but I definitely suggest a change in the presentation to start then connect and fully explain examples. With some changes that course will fly high :)

par Michael P

11 juil. 2016

The concepts here are useful and Mr. Egger is a knowledgeable instructor but 1) this class is really about gathering information with Excel as the tool - you aren't learning anything about Excel functionality, so the title of this course is really misleading if you just want to become a stronger user in Excel 2) there is a huge disconnect between the video lessons and the excel worksheets used to complete the assignments and since many previous reviewers mentioned this, it seems like that's not going to change. 3) the disconnect between the lessons and the assignments wouldn't be an issue if the instructor could be bothered to respond to forum questions. Mine sat unanswered for 5 days as the deadline passed. You are NOT going to get support if you dont understand something.

par Yusuf Z

14 sept. 2016

Not done with the course yet, but I have to say it started out very well and organized. I was actually learning how to use excel in the first week WHILE the instructor was teaching. The later weeks, however, seem to be completely different. They're disorganized and I'm struggling to see how the material correlates. It's as if I'm being bombarded with random topics, in addition to the fact that the instructor literally stops using excel to teach. After week 1, lessons are just random notes on a blackboard with a link at the end to the excel sheet in which the instructor has already prepared before with A LOT of info that you need familiarize yourself with solo. I had high hopes when I was done with the first week, but now I have to say I'm bored and demotivated!! (so far)

par Kaplanis A

21 janv. 2017

Irrationally difficult and inexplicably sloppy. Having taken first "Business Metrics for Data Driven Companies" I had high hopes that it would be on the same level.

Well, I was wrong. It was extremely messy, jumping around from definition to definition with little to no explanation and there was a general lack of motivation from professor Egger's part.

Apart from week 1 that had some necessary basic knowledge of Excel, all of the next weeks' lessons were fast paced beyond a beginner's comprehension. By week 5 I had lost the motivation to go on and was only able to finish it through a great deal of trial and error on the quizzes

I would not recommend it, unless you have some basic knowledge of the economic theories used in this lesson.

par Bertrand J d

13 févr. 2016

Complex concepts (e.g., regression), which cannot be taught in such a short course format (I know from extensive prior training), are taught here in an arcane way. I don't know how students without prior knowledge on these topics (e.g., regression, ROC curve analysis) could possibly understand this when taught this way.

Course is also in an 'early draft' mode, with plenty of mistakes in the videos/slides. The course (and specialization) really tarnishes - instead of enhancing - this institution's outside image and reputation.

Really a deception; sorry I took this class and specialization, a complete waste of my time and money. The initial presentation was misleading (and I have found online many people sharing the same feeling).

par Thomas N

21 févr. 2016

Don't be fooled by how detailed and clear the first weeks videos are. The second thru the final weeks are lacking details and explanations and found myself lost during most of the videos. There were even a few typos and errors. Be ready to do a lot independent research and learning from other sources in order to complete the weekly quiz. I was unable to complete the final project of this course due to the lack of knowledge provided by the lecture videos and some of own research. I was hoping to complete the specialization for this, but it doesn't seem like this course provided me with enough to proceed.

** The use of excel on the weekly basis was poorly integrated with the flow of the course.

16 avr. 2016

Concepts are fantastic but the material developed to deliver the course is short of expectations, especially from a university. Excel sheets do not match what is demonstrated in video lectures, lots of confusion around how to complete tasks, quiz answer options not being correct, and missing Excel spreadsheets (e.g. video lecture says to refer to accompanying excel spreadsheet, but no spreadsheet available). Also, judging from past discussions by students, some inconsistencies around formulas being presented in video lectures versus assignment questions. could have been a great course, but the inconsistencies have made is very disappointing.

par Miranda F

20 déc. 2020

For a specialization labeled for beginners, I found this course to be very challenging compared to the other courses in the specialization. I expected that this class would cover pivot tables and how to find and interpret regression using Excel. This was not the course. The teacher explained concepts using upper division math, so I struggled to learn the concepts and did not have a teacher who could explain the concepts. The video lessons had very limited information. They assumed you knew the math already. The course would improve if it covered half the material and had exercises and worksheets that demonstrated how to do the equations.

par Steven A

30 mars 2016

The title is very misleading. Excel is an afterthought for this course; instead there is a heavy focus on statistics. The class claims to be for beginners, but that is clearly not the case, as it requires previous knowledge in inferential statistics and calculus.

Excel is hardly used and is certainly not the focus; there are weeks where Excel is not used at all. There are no practice assignments, only quizzes.

It's clear that this course is outdated and poorly maintained, as the videos refer to examples that are not included or content that was not presented.

Needless to say, I will not be taking any other courses in this specialization.

par Guo X W

9 juin 2020

I found the title of the course to be extremely misleading as it turned out to be more of a statistics course. This quizzes and assignments were extremely unfulfilling. Students were given prepared spreadsheets and are tasked to use them to answer questions. It was extremely tedious and messy to have to open many documents for one quiz. Furthermore, there was very little instruction of how to use the spreadsheets. I believe that this course would have had much more practical value if it guided students through the commands, and taught us how to create spreadsheets for data analysis.

par Filipe J d S

11 sept. 2018

Firstly, this is not a course, it is a challenge. The instructor obviously has a solid mathematical background, but he lacks a lot of teaching skills and the ability to convey what goes on in his head, from where numbers and concepts come out. The material in Excel is not explained, it demands that the student unravel the relationships by auditing the worksheets.A complex content as such should be approached with extreme didactics and with several real examples, which facilitate the understanding of someone unfamiliar with the subject.At least I'm glad I did not buy the course.