Chevron Left
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

4.2
3,868件の評価

コースについて

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....

人気のレビュー

TB

2021年11月16日

I like and appreciate courses provided through Coursera.This course is very interesting and valuable for those whose jobs do have relevance with data management .God bless Coursera and Duke University

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.

フィルター:

Mastering Data Analysis in Excel: 676 - 700 / 921 レビュー

by Mustafa F A

2019年7月28日

by Eduardo L G

2015年12月31日

by kuldeep s

2016年8月20日

by Dat L

2016年3月25日

by Apostolos Z

2020年6月29日

by Runchen L

2016年8月22日

by Isabel F

2020年7月23日

by Luis F

2018年2月26日

by Alejandro A

2018年5月28日

by Oyeyinka I

2016年9月27日

by Bharath P R

2020年6月20日

by CHEO Y K

2016年1月17日

by Steve A

2021年3月26日

by Yiran Y

2019年8月22日

by abderrahim a

2016年12月24日

by Maryam A

2020年7月12日

by Paul J L J

2017年8月20日

by 杨珺

2016年4月17日

by Viv

2020年4月1日

by José L

2017年10月12日

by Harish N

2020年4月4日

by Weiliang P

2015年12月29日

by Despoina E

2016年2月3日

by Milan M

2016年1月21日

by Avulapati N

2020年8月21日