University of Colorado System
Time, Change, and Decisions for Marketing
University of Colorado System

Time, Change, and Decisions for Marketing

A.W. Lukens
Tony Cox, Jr.

Instructors: A.W. Lukens

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

22 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Predict customer behaviors and market trends using advanced analytics.

Details to know

Earn a career certificate

Add to your LinkedIn profile

Recently updated!

March 2024

Assessments

25 assignments

Taught in English

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

22 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Data Science for Marketing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

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There are 3 modules in this course

Use Causal Bayesian Networks and Partial Dependence Plots to revolutionize your marketing strategies. This module shows you how to optimize decision-making, understand customer behavior, and visually interpret complex data for strategic marketing insights.

What's included

7 videos7 readings8 assignments

Clarify the dynamics of customer behavior and market trends with Dynamic Bayesian Networks. Master time series forecasting and change detection to stay ahead in the ever-evolving marketing landscape, ensuring your strategies remain relevant and effective.

What's included

7 videos5 readings8 assignments

Optimize marketing and business decision-making with the help of causal forecasting. Learn to model customer journeys, perform what-if analyses, and apply Bayesian inference, equipping you with cutting-edge tools for real-time, data-driven marketing strategies.

What's included

8 videos5 readings9 assignments

Instructors

A.W. Lukens
University of Colorado System
10 Courses5,358 learners

Offered by

Recommended if you're interested in Marketing

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