

Predictive Analytics for Marketing offered by University of Chicago
- Private University
217 acre campus
- Estd. 1890
Predictive Analytics for Marketing at University of Chicago Overview
Predictive Analytics for Marketing
at University of Chicago
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 | Go to Website |
Course Level | UG Certificate |
Predictive Analytics for Marketing
Table of contentsPredictive Analytics for Marketing at University of Chicago Highlights
Predictive Analytics for Marketing
at University of Chicago
- Earn a certificate from the University of Chicago
- Learn from industry experts
Predictive Analytics for Marketing at University of Chicago Course details
Predictive Analytics for Marketing
at University of Chicago
Skills you will learn
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
Predictive Analytics for Marketing
at University of Chicago
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
Predictive Analytics for Marketing at University of Chicago Faculty details
Predictive Analytics for Marketing
at University of Chicago
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
Predictive Analytics for Marketing
at University of Chicago
| Particulars | Statistics (2025) |
|---|---|
| % Batch placed | 70 |
Predictive Analytics for Marketing at University of Chicago Entry Requirements
Predictive Analytics for Marketing
at University of Chicago
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at University of Chicago
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Predictive Analytics for Marketing at University of Chicago Contact Information
Predictive Analytics for Marketing
at University of Chicago
Address
Edward H. Levi Hall 5801 South Ellis Avenue Chicago, Illinois 60637 USA
Chicago ( Illinois)
Phone
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