RiseUpp Logo
Educator Logo

Time, Change, and Decisions for Marketing

Master advanced analytics for dynamic marketing strategies. Learn Bayesian networks, time series analysis, and optimization techniques.

Master advanced analytics for dynamic marketing strategies. Learn Bayesian networks, time series analysis, and optimization techniques.

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 Data Science for Marketing 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.

English

Not specified

Powered by

Provider Logo
Time, Change, and Decisions for Marketing

This course includes

22 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Master Bayesian networks for marketing decision optimization

  • Implement time series analysis for market trend prediction

  • Develop dynamic forecasting models for customer behavior

  • Optimize marketing strategies using causal modeling

  • Analyze customer journeys with advanced analytical tools

Skills you'll gain

Bayesian Networks
Time Series Analysis
Causal Modeling
Marketing Analytics
Decision Optimization
Customer Journey Analysis
Predictive Modeling
Data Visualization
Change Detection
Strategic Planning

This course includes:

2.3 Hours PreRecorded video

25 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 3 modules in this course

This advanced course focuses on applying sophisticated analytical techniques to marketing decision-making. Students learn to use Bayesian networks, time series analysis, and decision optimization tools to predict customer behaviors and market trends. The curriculum covers causal modeling, customer journey analysis, and dynamic forecasting methods. Through hands-on assignments, participants develop skills in using advanced analytics for strategic marketing decisions, change detection, and optimization of marketing strategies.

Bayesian Networks

Module 1 · 5 Hours to complete

Time and Change

Module 2 · 8 Hours to complete

Learning and Decision Optimization

Module 3 · 8 Hours to complete

Fee Structure

Instructors

A.W. Lukens
A.W. Lukens

4.6 rating

14 Reviews

6,509 Students

10 Courses

Expert in Cross-Functional Collaboration and Leadership Education

A.W. Lukens serves as a distinguished course developer and instructor at the University of Colorado System, specializing in cross-functional collaboration and leadership development. Their expertise is demonstrated through a comprehensive suite of courses on Coursera, focusing on both theoretical foundations and practical applications of collaborative leadership. Their flagship course "Facilitating and Leading Cross-Functional Collaboration" maintains high engagement rates and positive student feedback, teaching essential skills for effective team leadership and facilitation. The curriculum spans from fundamental concepts to advanced leadership techniques, including courses on machine learning applications in marketing and wilderness first aid. Their teaching approach emphasizes practical, hands-on learning experiences, requiring students to practice skills with real-world applications. Their course content is particularly valuable for both current leaders and those aspiring to leadership positions, with no prior experience required for entry-level courses. Through their diverse course offerings, they have established themselves as a leading voice in professional development education, combining traditional leadership principles with modern collaborative approaches

Tony Cox, Jr.
Tony Cox, Jr.

1,210 Students

4 Courses

Pioneering Data Analytics in Marketing

Dr. Tony Cox, Jr. is a prominent figure in the field of data analytics, specializing in marketing applications. With a robust academic background, he teaches courses such as Customer Data Analytics for Marketers, Machine Learning for Marketers, Regression Modeling for Marketers, and Time, Change, and Decisions for Marketing. His extensive experience includes over three decades in quantitative risk analysis and operations research, having held leadership positions in both academia and industry. Dr. Cox has contributed significantly to the development of advanced analytical methods that empower marketers to make informed decisions based on data-driven insights. His work not only enhances the understanding of customer behavior but also equips students with the skills necessary to navigate the complexities of modern marketing landscapes. Through his engaging teaching style and commitment to research, Dr. Cox inspires the next generation of marketing professionals to leverage data effectively in their strategies.

Time, Change, and Decisions for Marketing

This course includes

22 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.