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Google Analytics 4 (GA4): Real-Time Insights & Web Analytics
Rating: 4.4 out of 5(4 ratings)
141 students

Google Analytics 4 (GA4): Real-Time Insights & Web Analytics

Learn Google Analytics 4 (GA4), new generation of web analytics. Customer journey with events & predictive capabilities.
Created byUplatz Training
Last updated 4/2025
English

What you'll learn

  • Understand the difference between Google Analytics 4 vs. Universal Analytics
  • Learn about Real time and Audience
  • Learn Acquisition and Behavior concepts in Google Analytics
  • Understand how to work on Reporting Events
  • Describe the missing features of GA4

Course content

6 sections5 lectures2h 24m total length
  • Google Universal Analytics (UA) vs. Google Analytics 4 (GA4)23:55

Requirements

  • Enthusiasm and determination to make your mark on the world!

Description

A warm welcome to the Google Analytics 4 (GA4): Real-Time Insights & Web Analytics course by Uplatz.


Google Analytics (GA) is a web analytics tool that helps businesses track and analyze website and app traffic. It provides insights into user behavior, traffic sources, conversions, and engagement, enabling businesses to optimize their digital presence.


How Does Google Analytics Work?

Google Analytics collects data using a JavaScript tracking code placed on a website or app. The process involves:

  1. Data Collection

    • When a user visits a website, the tracking code gathers information such as page views, clicks, session duration, device type, and location.

    • In GA4, it tracks user interactions as events (e.g., button clicks, video plays, scroll depth).

  2. Data Processing

    • Google Analytics processes the raw data into structured reports.

    • It categorizes users based on sessions, demographics, traffic sources, and engagement metrics.

  3. Data Reporting & Analysis

    • Users can access dashboards in Google Analytics to view reports on:

      • Real-time activity (current active users).

      • Audience insights (user demographics, interests, devices).

      • Acquisition (how users found the site—search, social media, ads, etc.).

      • Behavior (what users do on the site—pages visited, events triggered).

      • Conversions (tracking goals like purchases, sign-ups, downloads).

  4. Data-Driven Decision Making

    • Businesses use GA insights to optimize marketing campaigns, improve website UX, and increase conversion rates.


GA4 vs. Universal Analytics (UA): Key Differences


  • Event-Based Tracking: GA4 tracks everything as events, unlike UA, which relied on session-based tracking.

  • AI-Powered Insights: GA4 uses machine learning for predictive analytics.

  • Privacy-Focused: GA4 offers better compliance with GDPR and CCPA by supporting cookieless tracking.

  • Cross-Platform Tracking: GA4 seamlessly integrates website and mobile app data.


Why learn Google Analytics?

Knowing how to use Google Analytics and find insights in your data is vital for improving your website, focusing your marketing efforts, and growing your business. Your reports offer insights into your audience and their behavior to help pinpoint what’s working (and what’s not working). If you don't understand Google Analytics, you're missing out on an entire suite of tracking metrics and optimization opportunities.

Data analysts prepare, process, and analyze data to help inform business decisions. They create visualizations to share their findings with stakeholders and provide recommendations driven by data. Since Google Analytics is a popular tool for web analytics, professionals with knowledge of Google Analytics are up for in-demand jobs in data analytics.


Google Analytics 4 (GA4): Real-Time Insights & Web Analytics - Course Curriculum


  1. Google Universal Analytics (UA) vs. Google Analytics 4 (GA4)

  2. Real-time and Audience

  3. Acquisition and Behavior

  4. Reporting Events

  5. What is missing in GA4

Who this course is for:

  • Data Analysts/Consultants
  • Web Analysts
  • Marketing Analysts/Consultants
  • Anyone aspiring for a career in Analytics
  • Newbies & Beginners interested in Web Analytics
  • SEO Specialists
  • Digital Data Analysts - Google Analytics
  • Lead Digital Analytics Specialists
  • Product Marketing Managers
  • Technical Analysts
  • Analytics Developers
  • Analytics Optimisation Consultants
  • Web Analytics Specialists
  • Lead Data Consultants
  • Business Consultants