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Predictive Analytics for Marketing 

  • Private University
  • Institute Icon217 acre campus
  • Estd. 1890

Predictive Analytics for Marketing
 at 
University of Chicago 
Overview

Learn and apply analytic techniques to measure and improve marketing performance

Duration

8 weeks

Total fee

2.34 Lakh

Mode of learning

Online

Official Website

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Course Level

UG Certificate

Predictive Analytics for Marketing
 at 
University of Chicago 
Highlights

  • Earn a certificate from the University of Chicago
  • Learn from industry experts
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Predictive Analytics for Marketing
 at 
University of Chicago 
Course details

Who should do this course?
  • For individuals who want to enhance their knowledge & skills in the field
What are the course deliverables?
  • Effectively find and evaluate both internal and external sources of data
  • Determine whether to buy an off-the-shelf market segment analysis or build a customer segmentation in-house
  • Construct predictive equations for setting appropriate campaign sizing to meet financial targets
  • Recommend the product mix to be used for marketing to each customer or prospect
  • Measure individual campaigns toward long-term customer value
More about this course
  • This course will teach you how to analyze data; estimate campaign effectiveness; segment and size markets; and use predictive modeling to forecast customer lifetime value
  • Additionally, its holistic approach will enable marketing and sales teams to create better and more effective marketing campaigns, execute cross-selling and upselling more efficiently, and provide improved customer relations
  • Our Predictive Analytics for Marketing course focuses on optimal data analysis and predictive modeling
  • Gain the tools you need to extract insights to gain a better understanding of customers? behavior, spending habits, and desires

Predictive Analytics for Marketing
 at 
University of Chicago 
Curriculum

Week 1: Introduction to Targeted Marketing Campaigns

Week 2: Sources of Data

Week 3: Segmenting the Audience—Part I

Week 4: Segmenting the Audience—Part II

Week 5: Determining Audience Sizing for Positive Return on Investment (ROI)

Week 6: Using Analytics to Optimize Product Offer

Week 7: Measuring Customer Lifetime Value

Week 8: Putting It All Together

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Predictive Analytics for Marketing
 at 
University of Chicago 
Faculty details

David Cameron
Dave Cameron is a seasoned data science and predictive analytics leader in both the corporate and startup spaces. He brings over twenty-five years of experience to the University of Chicago.

Predictive Analytics for Marketing
 at 
University of Chicago 
Placements

ParticularsStatistics (2025)
% Batch placed70

Predictive Analytics for Marketing
 at 
University of Chicago 
Entry Requirements

PTEUp Arrow Icon
  • No specific cutoff mentioned
Other eligibility criteriaUp Arrow Icon
Conditional OfferUp Arrow Icon
  • Yes

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Predictive Analytics for Marketing
 at 
University of Chicago 
 
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Predictive Analytics for Marketing
 at 
University of Chicago 
Contact Information

Address

Edward H. Levi Hall 5801 South Ellis Avenue Chicago, Illinois 60637 USA
Chicago ( Illinois)

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