Google Analytics 4 (GA4) Mastery - Course Curriculum

Hexadigitall Technologies https://hexadigitall.com

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Course Snapshot

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

20 Weeks

Advanced

Project-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 & What You Should Know

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

Recommended 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

Essential Learning 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

Your 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

Week 12 hours + labs

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

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 22 hours + labs

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

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 32 hours + labs

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

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 42 hours + labs

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

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 52 hours + labs

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

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 62 hours + labs

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

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 72 hours + labs

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

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 82 hours + labs

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

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 92 hours + labs

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

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 102 hours + labs

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

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 112 hours + labs

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

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 122 hours + labs

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

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 132 hours + labs

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

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 142 hours + labs

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

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 152 hours + labs

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

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 162 hours + labs

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

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 172 hours + labs

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

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 182 hours + labs

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

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 192 hours + labs

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

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 202 hours + labs

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

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.