4.2
3,833 个评分
932 条评论

## 课程概述

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....

## 热门审阅

TB

Nov 16, 2021

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

Oct 30, 2015

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.

## 251 - 使用 Excel 分析数据 的 275 个评论（共 913 个）

Dec 5, 2016

Excelentes tutoriales y muy interesante el temario

Jun 17, 2016

Great - the maths section was actually educational

Feb 11, 2016

Clear, concise and clean communication! Thank you!

Feb 7, 2016

Awesome！However, you need knowledge of statistics.

Nov 15, 2015

Great course! Excellent videos and good exercises.

Aug 21, 2020

Quizzes are the best part of this course to learn

Mar 4, 2017

great course if you want to go deeper in business

Oct 21, 2015

Excellent training in helping me to master excel.

Jul 5, 2021

e​xcellent data analysis videos and assignments.

Mar 19, 2019

please provide chinese for us Thx you very much

Nov 16, 2016

pragmatic enough and a lot of stat to be learned

Apr 7, 2020

Valuable insights on data analysis using Excel!

Jan 7, 2018

Good starting point exercises are challenging .

Feb 6, 2016

very good is increible this course for practice

Aug 15, 2020

Great course and definitely a recommended one.

Jul 10, 2019

Great course for essential knowledge in Excel!

Mar 29, 2016

very nice course，discussions are very helpful.

Dec 22, 2015

Meticulously designed for crisp understanding!

Aug 17, 2016

Indeed a Mastering course for Data Analysis!

Feb 18, 2016

Simply if define it in one word. EXCELLENT!!

Jan 27, 2016

Very thorough and useful. Thank you so much.

Jan 22, 2016

I never knew excel had so much possibilities

Jan 26, 2016

very uesful for me ,i'am a student in china

Sep 10, 2018

very good course for analytics, the maths!

Aug 26, 2016

First step toward becoming data scientist.