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AI Marketing Analytics Specialization

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Coursera

AI Marketing Analytics Specialization

Empower Marketing with Data Insights.

Use SQL, GA4, Looker Studio, and analytics methods to turn marketing data into decisions.

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Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Clean, normalize, and validate multi-channel marketing datasets for reliable reporting.

  • Write SQL queries to join campaign, session, event, ads, and CRM data.

  • Build Looker Studio dashboards that communicate marketing performance clearly.

  • Analyze attribution, cohorts, segments, tests, and forecasts to optimize campaigns.

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Taught in English
Recently updated!

June 2026

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Specialization - 5 course series

Data Preparation & Infrastructure

Data Preparation & Infrastructure

Course 1, 7 hours

What you'll learn

  • Clean and normalize campaign and CRM marketing datasets.

  • Write SQL queries to extract and join marketing data.

  • Validate data quality across analytics and ad platforms.

  • Profile datasets to identify reporting inconsistencies and gaps.

Business Intelligence & Visualization

Business Intelligence & Visualization

Course 2, 11 hours

What you'll learn

  • Build KPI frameworks tied to marketing business goals.

  • Create dashboards in Looker Studio using blended datasets.

  • Apply visualization best practices to improve reporting clarity.

  • Use data storytelling techniques to communicate recommendations.

Channel & Performance Analysis

Channel & Performance Analysis

Course 3, 6 hours

What you'll learn

  • Analyze paid media performance across multiple channels.

  • Evaluate SEO performance and search for visibility trends.

  • Use CRM analytics to assess customer lifecycle performance.

  • Recommend optimizations using marketing performance data.

Audience & Attribution Analytics

Audience & Attribution Analytics

Course 4, 6 hours

What you'll learn

  • Conduct cohort analysis to measure retention and lifetime value.

  • Compare audience behavior across multiple user segments.

  • Evaluate attribution models across marketing channels.

  • Apply audience insights to improve targeting and spend decisions.

Advanced Optimization & Experimental Design

Advanced Optimization & Experimental Design

Course 5, 9 hours

What you'll learn

  • Design and evaluate statistically sound A/B tests.

  • Build forecasting models for campaigns and budget planning.

  • Use GA4 insights to identify funnel and tracking issues.

  • Recommend data-driven optimization strategies across channels.

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Instructor

Professionals from the Industry
483 Courses110,472 learners

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