課程信息
4.2
2,668 個評分
600 個審閱
專項課程
100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為27 小時

建議:6 weeks, 8-10 hours per week...
可選語言

英語(English)

字幕:英語(English)...

您將獲得的技能

Binary ClassificationData AnalysisMicrosoft ExcelLinear Regression
專項課程
100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為27 小時

建議:6 weeks, 8-10 hours per week...
可選語言

英語(English)

字幕:英語(English)...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 1 小時

About This Course

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, and all assignments are designed to be done in MS Excel. 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 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. ...
Reading
2 個視頻(共 11 分鐘), 2 個閱讀材料
Video2 個視頻
Introduction to Mastering Data Analysis in Excel6分鐘
Reading2 個閱讀材料
Specialization Overview10分鐘
Course Overview10分鐘
完成時間(小時)
完成時間為 2 小時

Excel Essentials for Beginners

In this module, will explore the essential Excel skills to address typical business situations you may encounter in the future. The Excel vocabulary and functions taught throughout this module make it possible for you to understand the additional explanatory Excel spreadsheets that accompany later videos in this course. ...
Reading
8 個視頻(共 52 分鐘), 1 個閱讀材料, 2 個測驗
Video8 個視頻
Basic Excel Vocabulary; Intro to Charting7分鐘
Arithmetic in Excel2分鐘
Functions on Individual Cells3分鐘
Functions on a Set of Numbers10分鐘
Functions on Ordered Pairs of Data8分鐘
Sorting Data in Excel5分鐘
Introduction to the Solver Plug-in8分鐘
Reading1 個閱讀材料
Tips for Success10分鐘
Quiz2 個練習
Excel Essentials Practice30分鐘
Excel Essentials30分鐘
2
完成時間(小時)
完成時間為 2 小時

Binary Classification

Separating collections into two categories, such as “buy this stock, don’t but that stock” or “target this customer with a special offer, but not that one” is the ultimate goal of most business data-analysis projects. There is a specialized vocabulary of measures for comparing and optimizing the performance of the algorithms used to classify collections into two groups. You will learn how and why to apply these different metrics, including how to calculate the all-important AUC: the area under the Receiver Operating Characteristic (ROC) Curve. ...
Reading
6 個視頻(共 46 分鐘), 1 個閱讀材料, 2 個測驗
Video6 個視頻
Bombers and Seagulls: Confusion Matrix8分鐘
Costs Determine Optimal Threshold4分鐘
Calculating Positive and Negative Predictive Values5分鐘
How to Calculate the Area Under the ROC Curve11分鐘
Binary Classification with More than One Input Variable7分鐘
Reading1 個閱讀材料
Tips for Success10分鐘
Quiz2 個練習
Binary Classification (practice)30分鐘
Binary Classification (graded)45分鐘
3
完成時間(小時)
完成時間為 2 小時

Information Measures

In this module, you will learn how to calculate and apply the vitally useful uncertainty metric known as “entropy.” In contrast to the more familiar “probability” that represents the uncertainty that a single outcome will occur, “entropy” quantifies the aggregate uncertainty of all possible outcomes. The entropy measure provides the framework for accountability in data-analytic work. Entropy gives you the power to quantify the uncertainty of future outcomes relevant to your business twice: using the best-available estimates before you begin a project, and then again after you have built a predictive model. The difference between the two measures is the Information Gain contributed by your work....
Reading
7 個視頻(共 42 分鐘), 1 個閱讀材料, 2 個測驗
Video7 個視頻
Probability and Entropy7分鐘
Entropy of a Guessing Game7分鐘
Dependence and Mutual Information3分鐘
The Monty Hall Problem8分鐘
Learning from One Coin Toss, Part 15分鐘
Learning From One Coin Toss, Part 28分鐘
Reading1 個閱讀材料
Tips for Success10分鐘
Quiz2 個練習
Using the Information Gain Calculator Spreadsheet (practice)30分鐘
Information Measures (graded)45分鐘
4
完成時間(小時)
完成時間為 3 小時

Linear Regression

The Linear Correlation measure is a much richer metric for evaluating associations than is commonly realized. You can use it to quantify how much a linear model reduces uncertainty. When used to forecast future outcomes, it can be converted into a “point estimate” plus a “confidence interval,” or converted into an information gain measure. You will develop a fluent knowledge of these concepts and the many valuable uses to which linear regression is put in business data analysis. This module also teaches how to use the Central Limit Theorem (CLT) to solve practical problems. The two topics are closely related because regression and the CLT both make use of a special family of probability distributions called “Gaussians.” You will learn everything you need to know to work with Gaussians in these and other contexts. ...
Reading
11 個視頻(共 73 分鐘), 1 個閱讀材料, 3 個測驗
Video11 個視頻
Introduction to Standardization4分鐘
Standard Normal Probability Distribution in Excel7分鐘
Calculating Probabilities from Z-scores4分鐘
Central Limit Theorem3分鐘
Algebra with Gaussians6分鐘
Markowitz Portfolio Optimization12分鐘
Standardizing x and y Coordinates for Linear Regression6分鐘
Standardization Simplifies Linear Regression9分鐘
Modeling Error in Linear Regression10分鐘
Information Gain from Linear Regression5分鐘
Reading1 個閱讀材料
Tips for Success10分鐘
Quiz3 個練習
The Gaussian (practice)30分鐘
Regression Models and PIG (practice)45分鐘
Parametric Models for Regression (graded)45分鐘
4.2
職業方向

32%

完成這些課程後已開始新的職業生涯
工作福利

83%

通過此課程獲得實實在在的工作福利

熱門審閱

創建者 JEOct 31st 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.

創建者 NCDec 20th 2016

Overall, the course material is good with many example. Need a general knowledge with mathematical and statistical from the beginning to pass the exam, because course slide is a little bit fast.

講師

Avatar

Jana Schaich Borg

Assistant Research Professor
Social Science Research Institute
Avatar

Daniel Egger

Executive in Residence and Director, Center for Quantitative Modeling
Pratt School of Engineering, Duke University

關於 Duke University

Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world....

關於 Excel to MySQL: Analytic Techniques for Business 專項課程

Formulate data questions, explore and visualize large datasets, and inform strategic decisions. In this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process. The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion....
Excel to MySQL: Analytic Techniques for Business

常見問題

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 您注册课程后,将有权访问专项课程中的所有课程,并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

  • No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

還有其他問題嗎?請訪問 學生幫助中心