課程信息
4.5
5,038 個評分
1,119 個審閱
專項課程

第 1 門課程(共 5 門),位於

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12 小時

建議:4 weeks of study, 5-6 hours/week...
可選語言

英語(English)

字幕:英語(English), 西班牙語(Spanish), 中文(簡體)...

您將獲得的技能

Predictive AnalyticsCustomer AnalyticsRegression AnalysisMarketing Performance Measurement And Management
專項課程

第 1 門課程(共 5 門),位於

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12 小時

建議:4 weeks of study, 5-6 hours/week...
可選語言

英語(English)

字幕:英語(English), 西班牙語(Spanish), 中文(簡體)...

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 4 分鐘

Introduction to Customer Analytics

What is Customer Analytics? How is this course structured? What will I learn in this course? What will I learn in the Business Analytics Specialization? These short videos will give you an overview of this course and the specialization; the substantive lectures begin in Week 2....
Reading
2 個視頻(共 4 分鐘)
Video2 個視頻
Overview of the Business Analytics Specialization1分鐘
2
完成時間(小時)
完成時間為 2 小時

Descriptive Analytics

In this module, you’ll learn what data can and can’t describe about customer behavior as well as the most effective methods for collecting data and deciding what it means. You’ll understand the critical difference between data which describes a causal relationship and data which describes a correlative one as you explore the synergy between data and decisions, including the principles for systematically collecting and interpreting data to make better business decisions. You’ll also learn how data is used to explore a problem or question, and how to use that data to create products, marketing campaigns, and other strategies. By the end of this module, you’ll have a solid understanding of effective data collection and interpretation so that you can use the right data to make the right decision for your company or business. ...
Reading
7 個視頻(共 73 分鐘), 2 個閱讀材料, 1 個測驗
Video7 個視頻
Descriptive Data Collection: Survey Overview16分鐘
Descriptive Data Collection: Net Promoter Score and Self-Reports11分鐘
Descriptive Data Collection: Survey Design16分鐘
Passive Data Collection4分鐘
Media Planning8分鐘
Causal Data Collection and Summary8分鐘
Reading2 個閱讀材料
Descriptive Analytics Slides10分鐘
Additional Readings: Descriptive Analytics10分鐘
Quiz1 個練習
Descriptive Analytics Quiz20分鐘
3
完成時間(小時)
完成時間為 2 小時

Predictive Analytics

Once you’ve collected and interpreted data, what do you do with it? In this module, you’ll learn how to take the next step: how to use data about actions in the past to make to make predictions about actions in the future. You’ll examine the main tools used to predict behavior, and learn how to determine which tool is right for which decision purposes. Additionally, you’ll learn the language and the frameworks for making predictions of future behavior. At the end of this module, you’ll be able to determine what kinds of predictions you can make to create future strategies, understand the most powerful techniques for predictive models including regression analysis, and be prepared to take full advantage of analytics to create effective data-driven business decisions....
Reading
10 個視頻(共 79 分鐘), 4 個閱讀材料, 1 個測驗
Video10 個視頻
Asking Predictive Questions3分鐘
Regression Analysis, Part 1: The Demand Curve5分鐘
Regression Analysis, Part 2: Making Predictions5分鐘
Beyond Period 210分鐘
Making Predictions Using a Data Set8分鐘
Data Set Predictions: Mary, Sharmila, or Chris?10分鐘
Probability Models10分鐘
Implementation of the Model16分鐘
Results and Predictions5分鐘
Reading4 個閱讀材料
Reading: Customer Lifetime Value10分鐘
Predictive Analytics and Regression Analysis Slides10分鐘
Implementation of the Model Spreadsheet10分鐘
Additional Readings: Predictive Analytics10分鐘
Quiz1 個練習
Predictive Analytics Quiz20分鐘
4
完成時間(小時)
完成時間為 1 小時

Prescriptive Analytics

How do you turn data into action? In this module, you’ll learn how prescriptive analytics provide recommendations for actions you can take to achieve your business goals. First, you’ll explore how to ask the right questions, how to define your objectives, and how to optimize for success. You’ll also examine critical examples of prescriptive models, including how quantity is impacted by price, how to maximize revenue, how to maximize profits, and how to best use online advertising. By the end of this module, you’ll be able to define a problem, define a good objective, and explore models for optimization which take competition into account, so that you can write prescriptions for data-driven actions that create success for your company or business....
Reading
7 個視頻(共 42 分鐘), 1 個閱讀材料, 1 個測驗
Video7 個視頻
What is Prescriptive Analytics?4分鐘
Using the Data to Maximize Revenue6分鐘
Parameters of the Model10分鐘
Market Structure9分鐘
Competition and Online Advertising Models5分鐘
Conclusion(s)5分鐘
Reading1 個閱讀材料
Prescriptive Analytics Slides10分鐘
Quiz1 個練習
Prescriptive Analytics Quiz20分鐘
4.5
1,119 個審閱Chevron Right
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 AAApr 6th 2017

Perfect Course for those who want to inquire insight and knowledge of how tons of data that we generate in our day to day life is being utilized by big organizations in optimizing their productivity.

創建者 SSNov 15th 2016

Amazing course for even beginners in the field of customer analytics. Highly recommend to do this course for enhancing the analytical skills. Examples and case studies explains the concept very well.

講師

Avatar

Eric Bradlow

Professor of Marketing, Statistics, and Education, Chairperson, Wharton Marketing Department, Vice Dean and Director, Wharton Doctoral Program, Co-Director, Wharton Customer Analytics Initiative
The Wharton School
Avatar

Peter Fader

Professor of Marketing and Co-Director of the Wharton Customer Analytics Initiative
The Wharton School
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Raghu Iyengar

Associate Professor of Marketing
The Wharton School
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Ron Berman

Assistant Professor of Marketing
The Wharton School

關於 University of Pennsylvania

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

關於 Business Analytics 專項課程

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations....
Business Analytics

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