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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.

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376 - 使用 Excel 分析数据 的 400 個評論(共 860 個)

創建者 Sirsendu S

2017年7月30日

loved it

創建者 Artem A

2016年4月14日

Noiiice!

創建者 Franco M

2016年1月11日

amazing!

創建者 Mónica C

2015年12月27日

Awesome!

創建者 Hector G

2020年9月4日

perfect

創建者 AshQiu

2019年11月27日

awesome

創建者 LINDA A L

2019年10月30日

Exel'nt

創建者 Jagmohan M

2018年12月28日

Great !

創建者 Liu Y

2017年10月29日

like it

創建者 Cristian D A

2015年12月13日

GREAT!!

創建者 Pramit A M

2015年11月2日

Awesome

創建者 Jose C S M

2016年2月11日

Great!

創建者 Marica C

2015年12月13日

Great!

創建者 HUILIN M

2015年12月2日

useful

創建者 DAMPANABOINA S

2020年11月28日

nice

創建者 Arya s

2020年10月28日

Best

創建者 Md. R Q S

2020年10月10日

good

創建者 Dishant P

2020年2月12日

Nice

創建者 Chirag K

2019年9月27日

Good

創建者 Meenal C

2018年12月5日

ccol

創建者 Bharath M

2017年7月4日

good

創建者 Кирилл

2017年4月7日

Nice

創建者 Kyle A

2016年2月22日

Ver

創建者 Malgorzata P

2016年2月10日

:)

創建者 Michal K

2017年10月7日

V