Mastering Data Analysis in Excel に戻る

# デューク大学（Duke University） による Mastering Data Analysis in Excel の受講者のレビューおよびフィードバック

4.2
stars
3,056件の評価
684件のレビュー

## コースについて

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....

## 人気のレビュー

##### JE

Oct 31, 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.

##### NC

Dec 20, 2016

Overall, the course material is good with many example. Need a general knowledge with mathematical and statistical from the beginning to pass the exam, because course slide is a little bit fast.

フィルター：

## Mastering Data Analysis in Excel： 601 - 625 / 667 レビュー

by Kaplanis A

Jan 21, 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.

by Bertrand J d

Feb 13, 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).

by Thomas N

Feb 22, 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.

by santiago p

Jan 19, 2020

I write all this with a constructive approach to improve the course and not harm this great university and its brand.

The explanation and the videos do not correspond to the final project and or quices. Among other things, the creation of a mathematical model is requested and nowhere is it explained how to do it.

The videos and the contents are messy, the esthetics of the videos are not very careful and messy.

Isolated topics are explained without relating them to each other.

Because of the disorder, large thematic voids are left, which are unsuccessfully attempted to fill in superfluous and rapid explanations incorrectly inserted in the quices and final projects.

Apr 16, 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.

by Steven A

Mar 30, 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.

by Filipe J d S

Sep 11, 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.

by Victoria M

May 25, 2017

Says it's a class for people with no experience in statistics or calculus, but it's not true! Use of spreadsheets in the course is poorly explained, examples are not relevant to the spreadsheet you're told to use ; and the material is covered way too quickly. Excel functions are not properly explained and neither is the Solver plug in. Of course you don't know this if you've prepaid for a specialization and are well past the two week refund period. If you do make the mistake of taking this course - CHECK OUT THE FORUMS. They are the only and best help you will get!

by Benjamin C

Dec 02, 2015

Warning: The lecture videos along will NOT be enough to prepare you for the final assignment! Be prepared to do your own research for the extra study materials. On the forum, many students said they had to drop out during the last week (probably without getting a refund!) because they were completely caught off guard by the huge knowledge gap between lectures and the final assignment. If you are determined to get the specialization certificate, you should definitely start the final assignment as early as possible. Don't wait until the last week or two!!

by aaron m

Jul 23, 2019

Completely disorganised. You will be tested on material BEFORE you take the lesson teaching it, making you question your ability. The outline they provide for the order you should take the materials is completely wrong. If you want to learn by a guy scribbling quickly and messily with little in depth explanation about the concepts he teaches, go ahead and take this. Otherwise, avoid at all costs. Also, you learn nothing about using excel to perform data analysis, just given templates with no explanation on how they work.

by Michael M

May 06, 2016

Really wanted to take this class. Unfortunately, I believe it is more about advanced statistics then excel. It was advertised as a beginners class and that is not the case. I recommend having a significant knowledge of statistics before taking this course. I'm a 15 year senior level accounting executive and I was easily spending 10 to 15 hours a week plus watching the videos 3 or 4 times each in order to understand the content. It was very difficult to understand. Disappointing.

by Nesmary G M D

Dec 02, 2019

Material given is not enough for the graded quizzes questions. It would de very useful to have a guide with exercises solved with different complexities. Also, I passed various quizzes and I feel that if I face a real-life problem, I wouldn't know how to solve it, and I've seen other people writing the same in forums. Mentors hints given in week 4, are not about the actual questions of the graded quiz, and the last week I posted a question that actually hasn't been answered.

by 德伟 郑

Sep 07, 2016

I dislike this course because I have to complete so many assignment in one week. Instructions could have improved and slides could have improved rather than using chalkboard. Sorry there are a number of times I have to rewatch the videos and still dont understand. Hence I even have to place myself in another slot because I could not finish the assignment. Please improve on this module so that it is more enjoyable for learners who really want to learn. Thank you.

by Jorge O B

Aug 21, 2019

Muy decepcionado en la baja calidad del material entregado. Sin duda el profesor tiene un excelente manejo del tema, pero los recursos educativos utilizados son muy pobres. Muchos errores en los videos y en los cuestionarios.

Las lecciones pudieron ser mucho mas claras y fluidas usando un simple ppt, pero el uso de la tableta de dibujo de tan mala manera, hace confusas las explicaciones y poco pulcras.

by Jussi N

Jan 09, 2017

An absolutely dreadful course. The only things you'll end up studying are how to use the spreadsheets given and what the instructor was thinking when creating them... I can't figure out what, and there doesn't seem to be any way of finding out. The lectures were mostly stuff I learned at school and really quite easy, but I just have no idea what the final project has got to do with the lectures.

by Maria S

Feb 26, 2016

this course is definitely NOT for beginners. you MUST have intermediate to advanced knowledge of statistics and math. I had to resort to google and khan academy extensively just to grasp the concepts in this course. This course also does not teach you everything about excel, let alone master it. you just refer to pre made excel sheets for quizzes. thats it. Good luck figuring those out.

by Mauritz S

Jun 14, 2017

This course has nothing to do with data analysis in excel, but rather the mathematical concepts behind analysis in general. The only thing related to excel are the spreadsheets provided with the videos. Unfortunately, the professor never uses the spreadsheets and actually shows how to build said analysis, but rather just hands them to you and lets you figure it out with 0 guidance.

by Simeon H

Apr 22, 2016

This is an advanced Statistics class. Learning was chaotic, confusing, and fast paced. Strong Mathematics skills required. As icing on the cake, there is an 8 hour project at the end of the course .. and they only tell you at the end that you should have been working on this all along! Not at all what I wanted to learn or find productive in the real world.

by Rob N

Dec 23, 2015

If I could give it less than 1 star, I would. It wasn't an Excel class, rather it was a targeted business statistics class with only disjointed lectures and no benefit of textbook to actually help you learn. Lots of errors in the lectures and tests, and little to no support from course staff. Stay away! You won't regret it.

by Ricardo A G R

Jan 24, 2016

Unfortunately, the material and lectures of this course fell short of my expectations. Lectures don't follow a logical path and are all over the place, and some concepts are not expanded as required. Overall, I believe they need to improve how the content is presented, and how it's applied in a real world context.

by Nicole H

Jan 19, 2016

Was very frustrated with this course. Does not have a strong emphasis on Excel skills and the statistics models provided seem to be randomly chosen and poorly explained. Quizzes were interesting, but time-consuming because of the necessary extra research outside of provided lectures.

by Camilla O

Mar 09, 2016

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.

by Dennis N

Sep 08, 2016

This course has nothing to do with Excel. It should be called "Statistic and binary modelling with little use in excel". If you except to learn about functions, pivot tabels, macros and the many other exciting features of excel, this is NOT the course for you.

by Eduardo S H

Jan 22, 2016

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

by Ketian Y

Feb 21, 2017

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.