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듀크대학교의 Mastering Data Analysis in Excel 학습자 리뷰 및 피드백

3,037개의 평가
680개의 리뷰

강좌 소개

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....

최상위 리뷰


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.


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.

필터링 기준:

Mastering Data Analysis in Excel의 661개 리뷰 중 651~661

교육 기관: Elina L

Feb 10, 2016

Too advanced, not enough Excel

교육 기관: Thomas K

Apr 02, 2016

The course doesn't prepare you for the final project.

교육 기관: 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.

교육 기관: YONG-YU W

Nov 15, 2015

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

교육 기관: Michael K

Dec 03, 2016

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

교육 기관: 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

교육 기관: 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.

교육 기관: 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.

교육 기관: Nyrola E

Nov 18, 2019

The second part of week 4 is really confusing . Poor design of the contents.

교육 기관: Christoph B

Oct 31, 2019

Lots of calculation scribbled on black board, course material inconsistently named, structure difficult to asses, unclear which material to use for final test; reviewing peers: difficult to see, where question ends and answer starts

교육 기관: 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.