# 學生對 杜克大学 提供的 使用 Excel 分析数据 的評價和反饋

4.2
3,694 個評分
887 條評論

## 課程概述

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....

## 熱門審閱

JE
2015年10月30日

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
2020年10月13日

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.

## 651 - 使用 Excel 分析数据 的 675 個評論（共 866 個）

2017年10月12日

The title of this course does not suggest the topics that are covered in this course. Anyway, the topics covered are useful .

2020年4月4日

A little more emphasis should be given to the explanation of basic concepts so that beginners can also understand it easily.

2015年12月29日

The whole course has very little about excel, rather about aweful a lot of data models. The course title is very misleading.

2016年2月3日

It's quite interesting, but definitely not a beginners one. I'm put off quite a bit by the exclusively financial examples

2016年1月21日

after the second week I droped this course...I thought it will include excel and economics knowledge but was very wrong..

2020年8月21日

The course content is great and the instructor also explained concepts well!

The course assignments are outdated tough.

2016年1月9日

The later part of the sessions lacks practical applicability and it is more abstract, that I find difficult to relate

2016年5月7日

It's too advanced for people with no experience in statistics and sometimes too abstract to relate with

2020年7月2日

The course was informative but needed more examples to understand the concepts like the final example.

2020年1月19日

Really bored... now, I want to change and they charge me more for that. what a bad service, just money

2016年2月22日

The importance of this course is huge. However, I did miss better explanation from some topics...

2016年8月1日

It's more statistics than Excel itself, wich is good but I think the name doesn't fit to it

2018年5月24日

this course is to some extent too difficult for me, It is not easy for me to understand.

2015年11月22日

un poco complicado para mi creo q falta informacion en que apoyarme para los ejercicios

2015年11月17日

it is too complicated for me this courese, not very useful for daily work. but anyway i

2016年2月10日

This course was over my head academically and I was able to glean very little from it.

2015年12月12日

They have a lot of good material. It will probably be better the second time around.

2019年11月2日

not recommend if you want to learn about Excel. More fore stat/analytics in general

2016年5月12日

could have lecture more.... the videos talks little about the spreadsheet provided

2020年7月12日

it seems like there need to be some prerequisities to this class, like finance.

2020年7月2日

It was a bit too fast and there is a lot of math formulas than I expected

2016年7月5日

The order and content of the lessons wasn't planned with sufficient care.

2016年8月17日

The second test should be compulsory for also the non-paying students!

2018年5月15日

The content was very useful but I felt that instruction was lacking

2016年1月31日

still needs a better way of explaining the diversity of the course