# 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
3,675 個評分
881 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.

## 276 - 使用 Excel 分析数据 的 300 個評論（共 860 個）

2016年3月22日

Good content but badly structured

2021年3月21日

Wonderful and insightful course.

2018年11月5日

The course is very useful to me!

2018年6月18日

Wonderful course in all aspects!

2017年7月25日

Amazing and Very tough Course!!!

2017年7月3日

Really good and complete course.

2016年1月9日

Very good teachers/instructors.

2015年10月29日

Exactly what I was looking for!

2016年3月14日

learn lots of practical things

2015年11月9日

EXCELLENT! HIGHLY RECOMMENDED!

2017年12月2日

Very good learning experience

2016年8月3日

We learn a lot in this course

2020年5月12日

your lectures were the best.

2020年2月27日

Great instruction and exams!

2017年5月9日

Great. Thank you. Keep going

2016年4月12日

Great contents and teachers!

2021年3月26日

B N NN N GH GFV B

2020年6月29日

This course is very useful.

2017年9月11日

Nice Course. Nice Analysis.

2017年12月28日

great course to learn basi

2017年9月18日

Too good to be true course

2016年6月2日

given very useful material

2015年12月19日

2018年6月13日

Excellent. Unique tools.

2016年11月22日

really awesome course...