A beginner-focused GA4 course for measuring and analyzing web traffic. Covers goals, events, eCommerce, segments, and dashboards.
Language of course:
English
Format of the event:
Video lectures
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Course overview
Description generated based on course syllabus and open data.
This practical Google Analytics (GA4) course for beginners in 2025 focuses on collecting accurate data, analyzing traffic sources, and interpreting website performance metrics without assumptions.
Course contents: Google Analytics (GA4) 2025 for beginners
- What Google Analytics is and how it helps measure website engagement.
- Account types: Standard and 360; account → property → data stream structure.
- Setting up an account and installing the tracking code on your site.
- Access to a GA4 demo account for safe report exploration.
- Common questions: sessions, users, events, engagement metrics.
- Traffic overview: volume, geography, devices, popular pages.
- Sources/channels: identifying the most relevant traffic.
- Evaluating specific marketing activities via UTM tags and attribution reports.
Goals, events, and eCommerce
- Setting up goals/conversions to measure business success.
- Event tracking: clicks, views, downloads, interactions.
- eCommerce: product views, add-to-cart, transactions, revenue.
Segmentation and dashboards in Google Analytics
- Segments for uncovering insights: new/returning, regions, channels.
- Custom dashboards and saved reports for regular monitoring.
Who this Google Analytics 2025 course suits and who it does not
Suitable for
- Web analytics beginners who need a GA4 foundational structure.
- Site owners and content managers tracking page performance.
- SEO/content/SMM specialists who require proper tagging and report reading.
- Small eCommerce teams aiming to measure transactions and conversions.
Not suitable for
- Those seeking advanced BigQuery analytics or complex ML models.
- Those expecting ready-made business decisions without data interpretation.
Problem → outcome in Google Analytics (GA4)
- Problem: unclear user acquisition → Outcome: sources/channels and UTM campaigns clarify entries.
- Problem: uncertain site performance → Outcome: events and goals capture key actions and conversions.
- Problem: high traffic, low relevance → Outcome: segmentation highlights quality audiences.
- Problem: hard to assess online sales → Outcome: eCommerce reports show revenue and purchase funnels.
- Problem: fragmented data → Outcome: dashboards consolidate key metrics for regular review.
Comparison with web analytics alternatives
- GA4 (Google Analytics): event-based model, Google integrations, demo resource, advanced attribution reports.
- Matomo: data control on own servers; requires infrastructure maintenance.
- Plausible/Umami: lightweight privacy-focused analytics; less event detail.
- Adobe Analytics: flexible enterprise analytics; higher implementation complexity.
What you will master after completing the Google Analytics course for beginners
- Correct GA4 baseline setup and tracking code implementation.
- Creating conversions, events, and eCommerce tracking.
- Working with segments, channels, and traffic/page reports.
- Setting up custom dashboards and reading key metrics.
- Evaluating specific activities with UTM and attribution.
Evaluation
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