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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



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....



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.


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.


Mastering Data Analysis in Excel: 851 - 875 / 885 レビュー

by Esuene S


Poorly coordinated lectures. References to resources that are not provided. No response (at least, for days on end) when questions are posted on the forums

by Roberto K


Interesting statistical concepts, and great theory. However, the lectures and the quizzes do not prepare the student well for the final project.

by Siamak R


Not a well structured course at all. There is not much clear explanation on the subjects. You pretty much need to figure it out by yourself.

by Ashish G


A​lthough course is good but not satisfied with frequent updates for which you have to again pay as we had already paid for the course.

by Josh H


Terrible course, almost no focus on Excel and the lectures were incomprehensible. Please redo this class with Dr. Borg teaching it.

by Inna G


not about data analysis in excel, but mostly how to create models, not related to real life and very hard to grasp

by Richard C


Where is the course study material and are you providing a book on this subject and Excel? You have me lost.

by Rahul K


Really bad course, teaches stuff which are very basic and then the tests are really nothing based on that

by Aizaz S


absolutely one of the worst courses... I am deleting it from my list.

no slides make it harder to follow.

by Alexey E


the course neither explains statistics properly, nor teaches how to use excel effectively, disappointed

by Elias R F


This is more of an introduction to statistics lesson than one in excel... not what I had signed up for

by Alex B


Not enough detail and information provided in the lectures to undertake the final assessment.

by He Y


Really confusing and struggled a lot. The course doesn't prepare you for the final project.

by Rochelle R


I would not recommend this course. It was very poorly planned and seemed thrown together.

by Lalitha P


completely not relevant to my educational background. Highly very tough to understand.

by Michael K


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

by Nyrola E


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

by Nitin P


Very poor material and instruction videos, with no logical flow or process.

by Sankalp D


Quizzes were different than the lectures. Quizzes were too difficult.

by Vipul B


The course requires good knowledge of statistics as a pre-requisite.

by Carolina a P


Way to much mathematics and not enough Analysis infos

by Thomas K


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

by Doron P


the course material is not explained in a good way

by Maher M


im in week 4 , cant master data analysis in Excel

by Yuriy G


Title misleading. Never ever a beginners course.