Google Analytics is a powerful web analytics tool that helps track and analyze website traffic and user behavior, providing insights into metrics like page views, user demographics, bounce rates, and conversion rates. It enables businesses to make data-driven decisions by understanding how users interact with their websites, optimizing user experience, and improving marketing strategies. Learning Google Analytics is important for aspiring web developers because it equips them with the skills to integrate analytics into websites, monitor performance, and deliver actionable insights to clients or teams.
A tutor can accelerate this process by teaching how to set up Google Analytics, navigate its dashboard, interpret key metrics, and create custom reports, helping learners quickly gain the knowledge and practical skills needed to implement and utilize analytics effectively in professional web development projects.
Chapter 1: Introduction to Google Analytics
Lesson 1: What is Google Analytics?
Lesson 2: Evolution of Google Analytics: From GA Classic to GA4 and modern trends
Lesson 3: Key Use Cases: Website tracking, user behavior analysis, and business insights
Lesson 4: Setting Up Google Analytics: Creating an account, adding properties, and setting up data streams
Chapter 2: Understanding the Google Analytics Interface
Lesson 1: Overview of the Google Analytics Dashboard
Lesson 2: Navigating Reports: Real-time, audience, acquisition, behavior, and conversions
Lesson 3: Key Metrics and Dimensions: Sessions, pageviews, bounce rate, conversion rate, etc.
Lesson 4: Customizing Dashboards and Reports
Chapter 3: Google Analytics Tracking and Implementation
Lesson 1: Understanding Tracking IDs and Global Site Tags (gtag.js)
Lesson 2: Implementing Google Analytics with Google Tag Manager
Lesson 3: Setting Up Event Tracking and Custom Events
Lesson 4: Debugging and Testing Google Analytics Implementation
Chapter 4: Google Analytics Data Collection and Processing
Lesson 1: How Google Analytics Collects and Processes Data
Lesson 2: Understanding Data Sampling and Data Retention
Lesson 3: Tracking Users Across Devices and Platforms
Lesson 4: Filtering and Segmenting Data for Better Analysis
Chapter 5: Understanding Audience Reports
Lesson 1: Analyzing User Demographics and Interests
Lesson 2: Understanding User Behavior and Engagement Metrics
Lesson 3: New vs. Returning Users and Customer Lifetime Value
Lesson 4: Cohort Analysis and Retention Metrics
Chapter 6: Acquisition Reports and Traffic Analysis
