GA4 Implementation with Google Tag Manager
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GA4 Implementation with Google Tag Manager
This course is part of Web Analytics Specialization
Instructor: Edureka
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What you'll learn
Apply GTM and data layer concepts to implement a scalable, governed GA4 event tracking system.
Analyze e-commerce, attribution, and funnel data in GA4 to evaluate channel performance and identify drop-offs.
Evaluate segmentation and predictive metrics in GA4 to identify high-value users and recommend growth actions.
Design a Looker Studio dashboard that translates GA4 data into clear, executive-ready business insights.
Skills you'll gain
- Web Analytics
- Performance Analysis
- Campaign Management
- Analysis
- Web Analytics and SEO
- Data Analysis
- Customer Analysis
- Digital Brand Strategy
- User Research
- Market Analysis
- Marketing Planning
- Campaign Planning
- Marketing Strategy and Techniques
- Business Analytics
- Data Validation
- Digital Marketing Campaigns
- Marketing Analytics
- Marketing Strategies
- Digital Marketing
Tools you'll learn
Details to know
April 2026
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There are 4 modules in this course
This course transforms how you approach digital analytics by taking you beyond the basics and into the professional implementation, measurement, and intelligence systems that power data-driven organizations. You'll learn how to leverage Google Analytics 4 (GA4), Google Tag Manager (GTM), and Looker Studio to build a complete analytics ecosystem that captures accurate data, attributes performance correctly, and communicates insights that move businesses forward.
You'll start by mastering GA4 implementation through Google Tag Manager, learning how to govern containers, design scalable event tracking frameworks, and configure the data layer for clean, reliable data collection. You'll establish the professional standards that separate trustworthy analytics from fragile, inconsistent setups. Next, you'll dive into e-commerce measurement and campaign attribution. You'll build end-to-end tracking across the full purchase funnel, standardize UTM-based campaign tracking across channels, integrate Google Ads with GA4, and evaluate attribution models to understand how each channel truly contributes to conversion outcomes. You'll also analyze conversion funnels and map user journeys to identify drop-off points and surface optimization opportunities. Finally, you'll move from tracking to intelligence. Through hands-on exercises, you'll apply advanced segmentation strategies, build cohort analyses, configure predictive metrics, and design Looker Studio dashboards that enable leadership teams to self-serve strategic insights without analyst dependency. By the end of this course, you will be able to: - Implement and govern a professional GA4 tracking setup using Google Tag Manager, including event architecture and data layer configuration. - Build and validate a complete e-commerce measurement framework that captures accurate revenue and funnel data. - Standardize campaign tracking with UTM parameters and evaluate multi-touch attribution models for smarter budget decisions. - Analyze conversion funnels, user paths, and behavioral segments to generate actionable optimization recommendations. - Configure predictive metrics in GA4 and activate audience intelligence for retention and growth campaigns. - Design and publish Looker Studio dashboards that translate GA4 data into clear, executive-ready business insights. Designed for digital marketers, analytics professionals, e-commerce specialists, and marketing operations practitioners, this course equips you with the technical depth and hands-on experience to build, manage, and extract strategic value from a professional-grade GA4 analytics system. Step in, elevate your analytics practice, and learn how to turn implementation precision and behavioral data into the intelligence your organization needs to grow with confidence.
Master Google Tag Manager (GTM) fundamentals, including setup, containers, and governance. This module focuses on building scalable event tracking and leveraging the data layer to ensure accurate and efficient GA4 data collection.
What's included
12 videos5 readings4 assignments
12 videosβ’Total 74 minutes
- Specialization Introductionβ’6 minutes
- Course Introductionβ’4 minutes
- Introduction to GTMβ’5 minutes
- GTM Containers, Workspaces, and Version Controlβ’5 minutes
- Hands-On: GTM Installation and GA4 Migrationβ’7 minutes
- Event Architecture and Measurement Design in GTMβ’5 minutes
- Hands-On: Designing and Implementing Click Trackingβ’7 minutes
- Hands-On: Form Submission Tracking with Google Tag Managerβ’7 minutes
- Hands-On: Media Interaction Trackingβ’7 minutes
- Data Layer Architecture in Modern Analyticsβ’5 minutes
- Hands-On: Setting Up the Data Layer for Enhanced Trackingβ’7 minutes
- Hands-On: Implementing Event Tracking Using the Data Layerβ’7 minutes
5 readingsβ’Total 75 minutes
- Welcome to GA4 Implementation with Google Tag Managerβ’15 minutes
- GTM Governance: Naming Conventions, Permissions, and Container Hygieneβ’15 minutes
- Designing a Scalable Event Tracking Strategyβ’15 minutes
- Structuring Data for Scalable and Reliable Trackingβ’15 minutes
- Module Summary: Designing Analytics Infrastructure with GA4 and GTM β’15 minutes
4 assignmentsβ’Total 33 minutes
- Knowledge Check: Designing Analytics Infrastructure with GA4 and GTM β’15 minutes
- Practice Knowledge Check: Getting Started with GTMβ’6 minutes
- Practice Knowledge Check: The Event Blueprint: Designing, Tracking & Scaling Interactionsβ’6 minutes
- Practice Knowledge Check: Unlocking Clean Data: The Art of the Data Layerβ’6 minutes
Elevate your e-commerce analytics by mastering tracking, attribution, and funnel insights. This module focuses on capturing key interactions, uncovering performance drivers, and optimizing the customer journey.
What's included
12 videos5 readings4 assignments
12 videosβ’Total 71 minutes
- E-commerce Measurement Architecture and Implementation Strategyβ’4 minutes
- Hands-On: Product Interaction and Cart Event Trackingβ’7 minutes
- Hands-On: Checkout, Purchase Tracking, and E-commerce Validationβ’7 minutes
- UTM Parameters and Campaign Trackingβ’5 minutes
- Hands-On: Implementing UTM Parameters for Campaign Trackingβ’7 minutes
- Hands-On: Google Ads Integration and Advertising Workspace Setupβ’7 minutes
- Hands-On: Attribution Modeling and Conversion Path Analysisβ’7 minutes
- Conversion Funnel and Path-to-Purchase Analysisβ’4 minutes
- Hands-On: Building Conversion Funnels in GA4β’6 minutes
- Hands-On: Analyzing Conversion Funnelsβ’7 minutes
- Hands-On: Segment-Based Funnel Comparison and Drop-Off Analysisβ’5 minutes
- Hands-On: Path Exploration and User Journey Mappingβ’6 minutes
5 readingsβ’Total 75 minutes
- E-commerce Measurement Frameworkβ’15 minutes
- Understanding Attribution: Evaluating Channel Contribution Across the Customer Journeyβ’15 minutes
- Campaign Tracking Standards: Ensuring Consistent and Reliable Marketing Measurementβ’15 minutes
- From Funnels to Journeys: Interpreting Conversion Behavior and Identifying Optimization Opportunitiesβ’15 minutes
- Module Summary: E-Commerce Tracking, Campaign Attribution, and Conversion Journey Analysisβ’15 minutes
4 assignmentsβ’Total 33 minutes
- Knowledge Check: E-Commerce Tracking, Campaign Attribution, and Conversion Journey Analysisβ’15 minutes
- Practice Knowledge Check: E-Commerce Measurement: Architecture, Implementation, and Validationβ’6 minutes
- Practice Knowledge Check: Campaign Tracking and Attributionβ’6 minutes
- Practice Knowledge Check: The Conversion Journey: Funnel Analysis and Path Intelligenceβ’6 minutes
Harness the power of data-driven insights through segmentation, predictive analytics, and visualization. This module focuses on understanding user behavior, anticipating trends, and creating engaging dashboards in Looker Studio to support smarter decision-making.
What's included
8 videos3 readings3 assignments
8 videosβ’Total 47 minutes
- Segmentation Strategy and Cohort Analysisβ’4 minutes
- Hands-On: Advanced GA4 Segmentation and Analyzing User Journeysβ’7 minutes
- Hands-On: Cohort Analysis and High-Value Customer Identificationβ’7 minutes
- Hands-On: Setting Up Predictive Metrics Analysis in GA4β’7 minutes
- Hands-On: Predictive User Segmentation and Behavioral Analysisβ’6 minutes
- Looker Studio Foundations & Design Principlesβ’3 minutes
- Hands-On: GA4 Dashboard Setup in Looker Studioβ’7 minutes
- Hands-On: Dashboard Insights and Interaction in Looker Studioβ’6 minutes
3 readingsβ’Total 45 minutes
- Customer Lifetime Value and Predictive Analyticsβ’15 minutes
- Dashboard Design, Custom Analysis, and Insight Generationβ’15 minutes
- Module Summary: Data-Driven Insights: Segmentation, Prediction, and Visualizationβ’15 minutes
3 assignmentsβ’Total 27 minutes
- Knowledge Check: Data-Driven Insights: Segmentation, Prediction, and Visualizationβ’15 minutes
- Practice Knowledge Check: Segmentation and Predictive Analyticsβ’6 minutes
- Practice Knowledge Check: From Data to Dashboard: Looker Studio Launchpadβ’6 minutes
Strengthen a digital analytics ecosystem with GA4 implementation, e-commerce tracking, campaign attribution. Focus on Google Tag Manager, user journey analysis, segmentation, predictive analytics, dashboards for actionable insights.
What's included
1 video1 reading2 assignments
1 videoβ’Total 3 minutes
- Course Summaryβ’3 minutes
1 readingβ’Total 30 minutes
- Practice Project: Building a Scalable GA4 Analytics System from the Ground Upβ’30 minutes
2 assignmentsβ’Total 60 minutes
- End Course Knowledge Check: GA4 Implementation with Google Tag Managerβ’30 minutes
- End-to-End Analytics: A Strategic GA4 System Design Challengeβ’30 minutes
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Frequently asked questions
Foundational familiarity with GA4 is recommended. The course builds progressively from GTM setup through to advanced segmentation and Looker Studio visualization.
No. A free Google account is sufficient to access GA4, Google Tag Manager, and Looker Studio for all hands-on exercises in the course.
The course covers Google Analytics 4 (GA4) exclusively. Universal Analytics is not covered as it has been officially discontinued by Google.
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Financial aid available,
ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.
