Customer Data Analytics for Marketers
Master statistical concepts and tools for data-driven marketing decisions, from correlation analysis to structural equation modeling.
Master statistical concepts and tools for data-driven marketing decisions, from correlation analysis to structural equation modeling.
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.
Instructors:
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What you'll learn
Apply statistical concepts to marketing decisions
Conduct correlation and causality analysis
Visualize data relationships effectively
Develop ethical data analysis practices
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
33 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course teaches marketers how to leverage statistical analysis for data-driven decision making. Students learn core statistical concepts, correlation analysis, hypothesis testing, and advanced techniques like Structural Equation Modeling (SEM). The curriculum emphasizes practical applications in marketing contexts, ethical data interpretation, and visualization techniques using R programming. Through hands-on assignments, participants develop skills in analyzing customer data and creating actionable marketing insights.
Introduction to Data Analytics for Marketing Decisions
Module 1 · 3 Hours to complete
Data Analytics & Critical Thinking
Module 2 · 5 Hours to complete
Hypothesis Testing, Correlation, and Regression
Module 3 · 8 Hours to complete
Correlation and Causality
Module 4 · 6 Hours to complete
Fee Structure
Instructor
Marketing Analytics Instructor at the University of Colorado System
Tony Cox, Jr. is an instructor at the University of Colorado System, specializing in marketing analytics and data-driven decision-making. He teaches several courses on Coursera, including "Customer Data Analytics for Marketers," "Machine Learning for Marketers," and "Regression Modeling for Marketers." His courses focus on equipping marketers with essential analytical skills to enhance their understanding of customer behavior and improve marketing strategies through data analysis.With a strong emphasis on practical applications, Tony's teaching integrates statistical concepts and machine learning techniques tailored for marketing professionals. His work aims to empower students to make informed decisions based on customer data, ultimately driving better marketing outcomes and fostering a deeper understanding of market dynamics.
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Frequently asked questions
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