Coursera

AI Marketing Analytics Specialization

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.

Skills you'll gain

Category: Data Quality
Category: Data Cleansing
Category: SQL
Category: Data Validation
Category: Data Wrangling
Category: Marketing Analytics
Category: Data Mapping
Category: Data Synthesis
Category: Google Analytics
Category: Data Modeling
Category: Data Manipulation
Category: Data Integrity
Category: Data Preprocessing
Category: Verification And Validation
Category: Data Transformation
Category: Data Analysis
Category: Code Review
Category: Software Technical Review
Category: Marketing Operations
Category: Cross-Channel Marketing
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.

Skills you'll gain

Category: Key Performance Indicators (KPIs)
Category: Dashboard Creation
Category: Business Intelligence
Category: Performance Reporting
Category: Stakeholder Communications
Category: Data Storytelling
Category: Looker (Software)
Category: Data Modeling
Category: Snowflake Schema
Category: Pivot Tables And Charts
Category: Dashboard
Category: Data Presentation
Category: Star Schema
Category: Interactive Data Visualization
Category: Data Visualization
Category: Data-Driven Marketing
Category: Management Reporting
Category: Marketing Analytics
Category: Business Reporting
Category: Marketing Effectiveness
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.

Skills you'll gain

Category: Conversion Funnel Analysis
Category: Performance Analysis
Category: Cross-Channel Marketing
Category: Search Engine Optimization
Category: Campaign Management
Category: Marketing Automation
Category: Digital Marketing
Category: Keyword Research
Category: Customer Relationship Management (CRM) Software
Category: Digital Advertising
Category: Media Planning
Category: Marketing Effectiveness
Category: Search Engine Marketing
Category: Web Analytics and SEO
Category: Marketing Analytics
Category: Performance marketing
Category: Content Performance Analysis
Category: Data-Driven Marketing
Category: Digital Analysis
Category: Marketing Budgets
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.

Skills you'll gain

Category: Customer Retention
Category: Marketing Budgets
Category: Customer Engagement
Category: Journey Mapping
Category: Cross-Channel Marketing
Category: Trend Analysis
Category: Conversion Funnel Analysis
Category: Customer Success Management
Category: Data-Driven Marketing
Category: Stakeholder Engagement
Category: Budgeting
Category: Paid media
Category: Marketing Analytics
Category: Return On Investment
Category: Customer Analysis
Category: Marketing Effectiveness
Category: Performance Analysis
Category: Target Audience
Category: Customer Insights
Category: Marketing Channel
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.

Skills you'll gain

Category: Data Quality
Category: Forecasting
Category: Google Analytics
Category: Conversion Funnel Analysis
Category: A/B Testing
Category: Marketing Budgets
Category: Stakeholder Communications
Category: Marketing Analytics
Category: Marketing Strategies
Category: Web Analytics
Category: Marketing Effectiveness
Category: Demand Planning
Category: Statistical Analysis
Category: Budgeting
Category: Statistical Reporting
Category: Campaign Management
Category: Campaign Planning
Category: Financial Forecasting
Category: Data-Driven Marketing
Category: Analytics

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489 Courses112,906 learners

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