Customer Analytics
Master the fundamentals of customer analytics, from data collection to predictive modeling and optimization for business decisions.
Master the fundamentals of customer analytics, from data collection to predictive modeling and optimization for business decisions.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Business Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(11,778 ratings)
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Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Master data collection and interpretation methods
Develop predictive models using regression analysis
Optimize business decisions with prescriptive analytics
Apply analytics tools to real-world business cases
Skills you'll gain
This course includes:
5.7 Hours PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course explores how to use customer data for effective business decisions. Students learn three core types of analytics: descriptive (collecting and interpreting data), predictive (forecasting future behavior), and prescriptive (optimizing business decisions). The curriculum features real-world case studies from leading companies and practical applications of analytics tools and methods.
Introduction to Customer Analytics
Module 1 · 3 Minutes to complete
Descriptive Analytics
Module 2 · 2 Hours to complete
Predictive Analytics
Module 3 · 4 Hours to complete
Prescriptive Analytics
Module 4 · 1 Hours to complete
Application/Case Studies
Module 5 · 2 Hours to complete
Fee Structure
Instructors
Professor of Marketing and Co-Director of the Wharton Customer Analytics Initiative
Peter S. Fader is the Frances and Pei-Yuan Chia Professor of Marketing at The Wharton School of the University of Pennsylvania, where he specializes in analyzing behavioral data to forecast customer shopping and purchasing activities. His research spans various industries, including telecommunications, financial services, gaming, retailing, and pharmaceuticals, focusing on critical topics such as customer relationship management and the lifetime value of customers. Fader's work often reveals consistent yet surprising behavioral patterns that transcend different sectors.In addition to his academic role, Professor Fader co-founded Zodiac, a predictive analytics firm sold to Nike in 2018, and currently runs Theta Equity Partners, which focuses on customer-based corporate valuation. He is the author of Customer Centricity: Focus on the Right Customers for Strategic Advantage and co-author of The Customer Centricity Playbook. His insights have been featured in major publications like The New York Times and The Wall Street Journal, and he was recognized by Advertising Age as one of its inaugural "25 Marketing Technology Trailblazers." At Wharton, he teaches courses such as "Customer Analytics" and "Introduction to Marketing," equipping students with the tools necessary to thrive in today's data-driven marketing landscape.
Professor of Marketing
Raghu Iyengar is a prominent Professor of Marketing at The Wharton School of the University of Pennsylvania, where he specializes in consumer behavior and pricing strategies. His research primarily investigates how consumers respond to nonlinear pricing schemes, particularly in the context of wireless services. He has found that both quality and quantity learning significantly influence consumer choices regarding service plans, highlighting the importance of initial service encounters in shaping customer perceptions.Professor Iyengar holds a B.Tech in Engineering from the Indian Institute of Technology (IIT) Kanpur and earned his Ph.D. in Marketing from Columbia University. His academic contributions have been recognized through numerous awards, including multiple Teaching Excellence Awards at Wharton. He teaches courses such as "AI Applications in Marketing and Finance" and "Customer Analytics," where he equips students with essential tools for understanding market dynamics and consumer decision-making processes.In addition to his teaching and research, Professor Iyengar serves as the Faculty Director of Innovation, Experiential Learning, and Research Initiatives at Wharton. He is actively involved in various projects that bridge academic insights with practical applications in marketing analytics, making significant contributions to both the academic community and industry practices.
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4.6 course rating
11,778 ratings
Frequently asked questions
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