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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
3,643 個評分
869 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.

篩選依據:

326 - 使用 Excel 分析数据 的 350 個評論(共 849 個)

創建者 Adriana B Q

2016年2月6日

So far so good!!

創建者 huijuan z

2016年2月6日

A great course!!

創建者 rohit v

2016年2月6日

its very helpful

創建者 suneet b

2016年1月10日

Brilliant course

創建者 Jiarong Y

2016年1月3日

挺好的,增加了对excel的认知

創建者 Chen X

2017年12月5日

hard but useful

創建者 Rafael M

2016年5月22日

so far, so good

創建者 Paul O

2016年5月17日

Detailed videos

創建者 Tianju C

2015年11月12日

Perfect course!

創建者 Bhaskar S

2020年5月5日

A great course

創建者 Squirrel M

2017年9月19日

Tough but good

創建者 Abdullah M

2016年3月24日

Really helpful

創建者 何欣

2016年1月15日

Very useful!!!

創建者 Liga K

2015年12月15日

really helpful

創建者 VIVEK G

2020年12月9日

Great course.

創建者 Manojkumar P H

2018年1月4日

super courses

創建者 Ricardo B

2017年10月24日

Great course.

創建者 Shuo T

2017年6月27日

Great course!

創建者 Lingwei H

2017年5月31日

great course

創建者 Aditya M P

2020年9月29日

Good course

創建者 Inderpreet S S

2020年8月12日

Full Power!

創建者 Prarit J

2020年6月17日

Good Course

創建者 Shubham G

2018年11月6日

nice course

創建者 ZHUXINGWEN

2018年11月2日

very useful

創建者 Christian M

2017年10月31日

Excelent!!!