Marketing Analytics for Data-Driven Decisions

By the end of this course, learners will be able to analyze real marketing data, apply structured decision frameworks, build and interpret predictive models, and evaluate customer targeting strategies using analytics-driven insights. This course equips learners with practical marketing analytics skills required to make informed, data-driven marketing decisions in modern organizations. Learners will progress from understanding CRM and marketing decision frameworks to working with real-world marketing data, generating actionable insights, and applying predictive models such as logit models for retention and targeting. The course emphasizes how data analysis translates into meaningful marketing implications—focusing on who to target, how to engage customers, and how to allocate resources effectively. Learners will benefit by developing analytical thinking, improving their ability to interpret marketing data, and gaining hands-on exposure to models widely used in industry. What makes this course unique is its strong integration of decision frameworks, real marketing datasets, and predictive modeling, ensuring learners not only understand analytics concepts but also know how to apply them in practical marketing contexts. This course is ideal for professionals and students seeking to strengthen their data-driven marketing decision-making capabilities

• Analyze real marketing data using structured decision frameworks
• Build and interpret predictive models for customer targeting and retention
• Apply analytics insights to support data-driven marketing decisions

• No deep prior experience is required, but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities