Google Analytics 4 (GA4) Mastery Curriculum

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Curriculum

Google Analytics 4 (GA4) Mastery

Structured, hands-on learning path for Google Analytics 4 (GA4) Mastery with detailed weekly outcomes and practical delivery.

Duration: 20 Weeks
Level: Advanced
Study Time: 2 hours/week + labs
School: Hexadigitall Academy
20 WeeksAdvancedProject-Based

Welcome to Google Analytics 4 (GA4) Mastery! 🎓

This curriculum for Google Analytics 4 (GA4) Mastery follows a Bloom-aligned progression from advanced analysis to architecture-grade creation, with weekly evidence, labs, and portfolio outputs matched to advanced expectations.

Each week advances from comprehension and application toward evaluation and creation, ensuring progressive learning and capstone readiness.

Your success is our priority. By the end, you will produce portfolio-ready artifacts and confidently explain your technical decisions. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality.

Prerequisites

  • SQL proficiency: complex joins, window functions, query optimization, and performance analysis
  • Hands-on experience with data visualization tools (Tableau, Looker, Power BI, or similar)
  • Understanding of relational and dimensional modeling, fact/dimension tables, and star schema design
  • Familiarity with data quality frameworks: validation rules, anomaly detection, and completeness checks

Essential Resources

  • SQL optimization guides, query pattern library, and performance tuning references
  • Data modeling templates, dimensional design patterns, and quality framework schemas
  • Analytics cookbook with common calculations, transformations, and business metric definitions

Complementary Courses

Advanced Analytics & Machine Learning

Learn predictive modeling, statistical methods, and experimentation frameworks

Data Architecture & Engineering

Master ETL/ELT patterns, data warehouse design, and pipeline orchestration

Business Intelligence & Reporting

Deepen dashboard design, storytelling with data, and executive communication

Learning Roadmap

  • Early Weeks: SQL fundamentals, data modeling, and quality basics
  • Middle Weeks: Complex transformations, performance optimization, and BI tools
  • Late Weeks: Data governance, advanced analytics, and strategic reporting

Detailed Weekly Curriculum

Each week includes outcomes and practical lab work aligned to the curriculum structure.

Week 1

Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 1)

2 hours + labs
Learning Outcomes
  • Analyze the principles of Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Evaluate Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Design trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 1), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 1) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 1) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 1) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 1) outputs to a dashboard/report with reproducible refresh steps.
Week 2

Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 1)

2 hours + labs
Learning Outcomes
  • Analyze the principles of Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Evaluate Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Design trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 1), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 1) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 1) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 1) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 1) outputs to a dashboard/report with reproducible refresh steps.
Week 3

Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 1)

2 hours + labs
Learning Outcomes
  • Analyze the principles of Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Evaluate Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Design trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 1), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 1) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 1) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 1) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 1) outputs to a dashboard/report with reproducible refresh steps.
Week 4

Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 1)

2 hours + labs
Learning Outcomes
  • Analyze the principles of Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Evaluate Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Design trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 1), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 1) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 1) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 1) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 1) outputs to a dashboard/report with reproducible refresh steps.
Week 5

Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 1)

2 hours + labs
Learning Outcomes
  • Analyze the principles of Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Evaluate Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Design trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 1), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 1) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 1) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 1) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 1) outputs to a dashboard/report with reproducible refresh steps.
Week 6

Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 1)

2 hours + labs
Learning Outcomes
  • Analyze the principles of Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Evaluate Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Design trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 1), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 1) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 1) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 1) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 1) outputs to a dashboard/report with reproducible refresh steps.
Week 7

Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 1)

2 hours + labs
Learning Outcomes
  • Analyze the principles of Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Evaluate Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Design trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 1), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 1) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 1) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 1) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 1) outputs to a dashboard/report with reproducible refresh steps.
Week 8

Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 1)

2 hours + labs
Learning Outcomes
  • Evaluate the principles of Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Design Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Optimize trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 1), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 1) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 1) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 1) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 1) outputs to a dashboard/report with reproducible refresh steps.
Week 9

Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 2)

2 hours + labs
Learning Outcomes
  • Evaluate the principles of Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Design Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
  • Optimize trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 2), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 2) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 2) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 2) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 2) outputs to a dashboard/report with reproducible refresh steps.
Week 10

Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 2)

2 hours + labs
Learning Outcomes
  • Evaluate the principles of Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Design Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
  • Optimize trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 2), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 2) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 2) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 2) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 2) outputs to a dashboard/report with reproducible refresh steps.
Week 11

Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 2)

2 hours + labs
Learning Outcomes
  • Evaluate the principles of Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Design Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
  • Optimize trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 2), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 2) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 2) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 2) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 2) outputs to a dashboard/report with reproducible refresh steps.
Week 12

Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 2)

2 hours + labs
Learning Outcomes
  • Evaluate the principles of Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Design Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
  • Optimize trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 2), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 2) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 2) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 2) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 2) outputs to a dashboard/report with reproducible refresh steps.
Week 13

Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 2)

2 hours + labs
Learning Outcomes
  • Evaluate the principles of Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Design Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
  • Optimize trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 2), then record rationale for stakeholder review.
  • Justify a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 2) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 2) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 2) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Funnel and Landing Optimization (Sprint 2) outputs to a dashboard/report with reproducible refresh steps.
Week 14

Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 2)

2 hours + labs
Learning Outcomes
  • Design the principles of Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Optimize Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
  • Architect trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 2), then record rationale for stakeholder review.
  • Defend a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 2) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 2) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 2) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Attribution and KPI Analysis (Sprint 2) outputs to a dashboard/report with reproducible refresh steps.
Week 15

Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 2)

2 hours + labs
Learning Outcomes
  • Design the principles of Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Optimize Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
  • Architect trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 2), then record rationale for stakeholder review.
  • Defend a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 2) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 2) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 2) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 2) outputs to a dashboard/report with reproducible refresh steps.
Week 16

Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 2)

2 hours + labs
Learning Outcomes
  • Design the principles of Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Optimize Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
  • Architect trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 2), then record rationale for stakeholder review.
  • Defend a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 2) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 2) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 2) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 2) outputs to a dashboard/report with reproducible refresh steps.
Week 17

Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 3)

2 hours + labs
Learning Outcomes
  • Design the principles of Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 3) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Optimize Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 3) in a guided scenario using realistic tools, constraints, and quality gates.
  • Architect trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 3), then record rationale for stakeholder review.
  • Defend a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 3) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 3) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 3) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 3) outputs to a dashboard/report with reproducible refresh steps.
Week 18

Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 3)

2 hours + labs
Learning Outcomes
  • Design the principles of Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 3) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Optimize Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 3) in a guided scenario using realistic tools, constraints, and quality gates.
  • Architect trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 3), then record rationale for stakeholder review.
  • Defend a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 3) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 3) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 3) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 3) outputs to a dashboard/report with reproducible refresh steps.
Week 19

Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 3)

2 hours + labs
Learning Outcomes
  • Design the principles of Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 3) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Optimize Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 3) in a guided scenario using realistic tools, constraints, and quality gates.
  • Architect trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 3), then record rationale for stakeholder review.
  • Defend a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 3) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 3) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 3) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 3) outputs to a dashboard/report with reproducible refresh steps.
Week 20

Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 3)

2 hours + labs
Learning Outcomes
  • Design the principles of Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 3) and link them to course outcomes at advanced depth with architecture-level decision quality.
  • Optimize Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 3) in a guided scenario using realistic tools, constraints, and quality gates.
  • Architect trade-offs, risks, and decision points for Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 3), then record rationale for stakeholder review.
  • Defend a portfolio-ready analytics quality workbook for Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 3) with measurable success criteria and next actions.
Lab Exercise
  • Implement a working data workflow for Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 3) with schema/model decisions documented.
  • Run quality checks and performance tuning for Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 3) queries or transformations.
  • Publish Google Analytics 4 (GA4) Mastery: Campaign Setup and Execution (Sprint 3) outputs to a dashboard/report with reproducible refresh steps.

Capstone Projects

Project 1: Google Analytics 4 (GA4) Mastery Foundation Build

Deliver a concrete foundation implementation covering the first phase of the curriculum.

  • Implement and validate Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 1).
  • Integrate Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 1) with reusable workflow standards.
  • Publish evidence for Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 1) with test and quality artifacts.

Project 2: Google Analytics 4 (GA4) Mastery Integrated Systems Build

Combine mid-program competencies into a production-style integrated workflow.

  • Build an end-to-end flow around Google Analytics 4 (GA4) Mastery: Experimentation and Testing (Sprint 1) and Google Analytics 4 (GA4) Mastery: Retention and Scale Planning (Sprint 1).
  • Add controls, observability, and rollback paths for reliability.
  • Document architecture decisions and trade-offs tied to Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 2).

Project 3: Google Analytics 4 (GA4) Mastery Capstone Delivery

Ship a portfolio-ready capstone with measurable outcomes and stakeholder-ready presentation.

  • Deliver a complete implementation centered on Google Analytics 4 (GA4) Mastery: Audience Research and Positioning (Sprint 3).
  • Validate readiness for Google Analytics 4 (GA4) Mastery: Messaging and Offer Strategy (Sprint 3) using objective acceptance checks.
  • Present final defense and roadmap based on Google Analytics 4 (GA4) Mastery: Creative Planning and Production (Sprint 3) outcomes.