"Time, Change, and Decisions for Marketing" shows how advanced analytics can be used to adapt and optimize marketing strategies in response to evolving market conditions. Unique to this course is the integration of advanced analytics into strategic marketing decision-making, equipping learners with the skills and knowledge to lead data-driven marketing initiatives and coordinate strategies across teams for maximum business impact.
Time, Change, and Decisions for Marketing
Time, Change, and Decisions for Marketing
This course is part of Data Science for Marketing Specialization
Instructors: A.W. Lukens
Sponsored by PTT Global Chemical
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
22 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Predict customer behaviors and market trends using advanced analytics.
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
25 assignments
Taught in English
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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.
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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
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