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Marketing Analytics

Learn to collect, process, analyze, and act on marketing data to measure impact, optimize campaigns, and scale data-driven marketing programs.

Data Science & Analytics · Intermediate

Free · Self-paced · Certificate included

Marketing Analytics

About this course

Marketing Analytics is a comprehensive, skills-first course that teaches how to collect, process, analyze, and act on marketing data to drive measurable business outcomes. Students will learn fundamentals of data instrumentation, data engineering, exploratory analysis, digital analytics, customer segmentation, campaign measurement, attribution methods, predictive modeling, experimentation, marketi...

What you'll learn

  • Design and implement tracking to collect reliable marketing data
  • Build and maintain data pipelines and clean marketing datasets
  • Perform exploratory analysis and create actionable visualizations
  • Measure digital performance across web, mobile, and social channels
  • Segment customers and develop behavior-driven cohorts
  • Design and evaluate experiments (A/B tests) for marketing decisions
  • Apply attribution and marketing mix modeling to allocate budget
  • Build predictive models for LTV, churn, and campaign response
  • Create dashboards and reports to communicate insights to stakeholders
  • Implement governance and privacy best practices for marketing data

Prerequisites

Basic statistics and spreadsheet skills; familiarity with marketing concepts; SQL or Python experience recommended but not required.

Level
Intermediate· Level
Duration
10 weeks· Duration
Language
English· Language
Modules
6· Modules

Skills you'll gain

  • Data instrumentation
  • SQL querying
  • Data engineering basics
  • Exploratory data analysis
  • Data visualization
  • A/B testing & experimentation
  • Attribution & MMM
  • Predictive modeling
  • Customer segmentation
  • Dashboarding & reporting
  • Data governance & privacy
  • Stakeholder communication

What you'll study

6 modules — work at your own pace.

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