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: 251 - 275 / 921 レビュー

by Rezaan H

2018年9月29日

by María I B

2016年12月5日

by matthewcs

2016年6月17日

by Alfred H

2016年2月11日

by Hang S

2016年2月7日

by Luciano d A P

2015年11月15日

by SHUBHAM D

2020年8月21日

by Yiran W

2017年3月4日

by Ermiyas M

2015年10月21日

by Jatinder K R

2021年7月5日

by chehaoming

2019年3月19日

by Zacchaeus A

2016年11月16日

by Frank-Nelson M

2020年4月7日

by Sreedharrao R

2018年1月7日

by Juan A C J

2016年2月6日

by Shubhangi

2020年8月15日

by Thanh N N

2019年7月10日

by XUZHENGYU

2016年3月29日

by Rohan D

2015年12月22日

by Vladimir P

2016年8月17日

by Majid A

2016年2月18日

by Sylvia S

2016年1月27日

by Nwosu C

2016年1月22日

by 赵旭鹏

2016年1月26日

by Omer A

2022年8月9日