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A.W. Lukens, Tony Cox, Jr., and Ric Mills

This specialization is designed for marketing professionals aiming to harness the power of data science. Across four comprehensive courses, learners will learn about modern marketing data analytics, regression modeling, machine learning, and decision-making. This program covers statistical concepts, predictive analytics, and decision optimization, ensuring a well-rounded understanding of how to apply data science in marketing. Participants will learn to interpret data, forecast trends, and make data-driven marketing decisions, enhancing both customer engagement and business profitability.

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What's inside

Four courses

Customer Data Analytics for Marketers

(4 hours)
This course introduces marketing data analytics, focusing on correlation and causality. Learners will explore statistical concepts and tools to analyze and interpret marketing data, leading to more informed and impactful marketing strategies.

Regression Modeling for Marketers

(4 hours)
Regression Modeling for Marketers is a specialized course designed to elevate marketing professionals' analytical skills. Focusing on regression analysis, the course enables learners to quantify, explain, and predict marketing outcomes using both simple and multiple linear regression models.

Machine Learning for Marketers

(4 hours)
Machine Learning for Marketers is an advanced course designed for professionals seeking to incorporate machine learning into their marketing strategies. It focuses on predictive analytics and decision-making, using supervised learning methods to analyze and forecast customer behavior. Participants will learn to implement advanced machine learning techniques to enhance the accuracy of predictions and inform better marketing decisions.

Time, Change, and Decisions for Marketing

(0 hours)
Time, Change, and Decisions for Marketing demonstrates how advanced analytics can be used to adapt and optimize marketing strategies in response to evolving market conditions. This course uniquely integrates 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.

Learning objective

Apply data science techniques to optimize marketing strategies and increase customer engagement.

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