Master Google Analytics 4 Reports and GTM Basics in 2024

Course Curriculum

Chapter 1: Lets Begin

Lecture 1: Course Structure, Plan, and Overview

Lecture 2: Pace of the Lectures

Lecture 3: How to Analyze Website Data with Google Analytics

Lecture 4: Basic Navigation Guideline of the GA4 Account

Chapter 2: Analysis: Traffic Volume

Lecture 1: Lets Start our Analysis of Beginner Traffic Data

Lecture 2: Where are Your Users Coming From

Lecture 3: GA4 Users, and Concepts Important for Traffic Analysis

Lecture 4: Importance of Tracking Channels, Source, Medium, and UTM

Lecture 5: Customizing Channel Data (Channel Group) in Google Analytics 4

Chapter 3: Analysis: Traffic Relevance

Lecture 1: Learning About Your Visitors

Lecture 2: Demographics of Your Target Audience (Visitors)

Lecture 3: Devices and Technology of Your Visitors

Lecture 4: Learning About the User Behavior on your Website

Lecture 5: Finding Useful Details about the User

Lecture 6: Identify Overlapping Aspects about your Users

Chapter 4: Analysis: How Google Analytics 4 Works

Lecture 1: How Google Analytics Works

Lecture 2: Google Analytics 4 Events – Concepts

Lecture 3: Capturing Data Using GA4 Events

Lecture 4: Google Tag Manager – Non-Developer Perspective

Chapter 5: Analysis: Traffic Engagement

Lecture 1: Analyzing and Using Events

Lecture 2: Page-Level Analysis of Your Website

Lecture 3: Path Analysis for Understanding Visitor Journey on Your Website

Lecture 4: Types of Events in GA4

Lecture 5: Enhanced Measurements in GA4

Lecture 6: Key Events in Google Analytics 4

Chapter 6: Analysis: Traffic Sustainability

Lecture 1: Traffic Sustainability Analysis With Cohort Analysis Reports – Part – I

Lecture 2: Retention Analysis of Website Traffic

Lecture 3: Cohort Analysis – Granular Analysis

Lecture 4: Tracking Individual User Actions In GA4

Lecture 5: Concept Behind the UserID Tracking

Chapter 7: Analysis: Meaningful Traffic

Lecture 1: Funnel Concepts

Lecture 2: Funnel-Based Goal Analysis

Lecture 3: More Data on Business Goals

Lecture 4: Business Goal Analysis With Monetization Reports

Lecture 5: Attribution Modeling – Concept

Lecture 6: Attribution Modeling – Reports

Chapter 8: Planning: Data Modeling Concepts with GA4

Lecture 1: Thinking About the Website Data to be Modeled

Lecture 2: Data Modeling for a Typical Ecommerce Website – Part – I

Lecture 3: Data Modeling for a Typical Ecommerce Website – Part – II

Lecture 4: Data Modeling for a Typical Ecommerce Website – Part – III

Lecture 5: Data Modeling for Non-Standard Websites – Part – I

Lecture 6: Data Modeling for Non-Standard Websites – Part – II

Lecture 7: Revisiting The Monetization Reports

Chapter 9: Customization: Custom Reports and Data Studio Introduction

Lecture 1: Customized Tabular Reports In GA4

Lecture 2: Completely Modify Google Analytics Reports and Layouts with Library

Lecture 3: Google Data Studio Basics

Lecture 4: Chart Types In Data Studio

Lecture 5: Using Data Filters and Other Tools

Lecture 6: Customizing Data with Formulas and Arithmetic In Google Data Studio

Lecture 7: Creating Advanced Custom Funnels In Data Studio

Chapter 10: Implementation: Project Details and Setup

Lecture 1: Who this Project is for?

Lecture 2: Install the Project

Chapter 11: Implementation: Google Analytics 4 with Tag Manager

Lecture 1: Create a New Google Analytics 4 Account

Lecture 2: Connect Google Analytics 4 to the Website

Lecture 3: A Case for the Need of Google Tag Manager

Lecture 4: Create a New Google Tag Manager Account

Lecture 5: Understand How Google Tag Manager Works

Lecture 6: Link the Website, Google Analytics 4, and Google Tag Manager

Lecture 7: Implement our First Event using the Google Tag Manager

Lecture 8: Understand the Preview Mode (Tag Assistant) in Google Tag Manager

Lecture 9: Understand the Debug View in Google Analytics 4

Lecture 10: Final Steps to Complete the Event Creation

Lecture 11: Optimize the use of Tags and Triggers – Part I

Lecture 12: Optimize the use of Tags and Triggers – Part II

Lecture 13: Create Events Inside Google Analytics 4

Lecture 14: Event Parameters and Custom Dimensions

Lecture 15: Configure a Custom Dimension

Lecture 16: Introduction To Advanced Custom Definitions

Lecture 17: What is the Data Layer

Lecture 18: Data Layer I – Begin using Data Layer with User-defined Variables

Lecture 19: Data Layer II – Form Fill Capture with Custom Data and Custom Event Parameters

Lecture 20: Data Layer III – How to Insert data into Data Layer

Lecture 21: Data Layer IV – Custom Metrics and Dimensions from Data Layer

Chapter 12: Implementation: User Behavior Data Designing Opportunities in Google Analytics 4

Lecture 1: Understand User Properties and Audiences in Google Analytics 4

Lecture 2: Configure User Properties and Audiences

Lecture 3: User ID Setup – Behind the Scenes

Lecture 4: Understand User ID Tracking Fundamentals

Lecture 5: Implement User ID Tracking

Chapter 13: Implementation: Ecommerce/Monetization Reports – How it Works

Lecture 1: E-Commerce Implementation Basic Concepts

Lecture 2: Implementation Plan In Our Practice Website

Lecture 3: Implement The First Step of E-Commerce Data Collection

Lecture 4: Implement Product Views, Add To Carts And More – I

Lecture 5: Implement Product Views, Add To Carts And More – II

Lecture 6: Capturing Data Dynamically In The Ecommerce Implementation

Chapter 14: Lets Close

Lecture 1: Parting Thoughts

Chapter 15: Additionals