Google Analytics for Beginners — Google Analytics Master

Course overview

Description generated based on course syllabus and open data.

The materials are built around real scenarios: from launching Google Analytics and adding a tracking code to analyzing traffic, behavior, and conversions. Delivery is concise with a focus on practical use.

Scope and practice: Google Analytics for beginners

Core Google Analytics topics

• Account creation and tracking code installation.
• Working with an eCommerce demo dataset (safe practice).
• Filters to exclude internal traffic and spam sources.
• Real-time, Audience, Acquisition, and Behavior reports.
• Dimensions, comparisons, and segments for deeper analysis.
• UTM campaign tagging and validation of marketing traffic.
• User management and access configuration.
• Goals/conversions, events, and custom alerts.
• Using features such as Analytics Intelligence.

Who it suits / who it doesn't (Google Analytics for beginners)

Suits

• Newcomers to web analytics seeking a basic understanding of GA.
• Site owners and content managers who need objective metrics.
• Marketers and SMM specialists evaluating UTM-based campaigns.
• Product managers and junior analysts structuring reports.

Does not suit

• Those needing bespoke technical integration for a specific stack.
• Users relying solely on server log data without client-side tracking.
• Advanced specialists already building complex attribution models.

Problem → target state within Google Analytics

• Problem: Lack of visibility into traffic and user actions. Target state: Standardized data collection with accessible base reports and segments.
• Problem: Internal visits skew metrics. Target state: Filters exclude internal traffic, improving representativeness.
• Problem: Unclear which campaigns bring users. Target state: UTM-tagged traffic tracked in Acquisition reports.
• Problem: Unclear which pages impact goals. Target state: Defined goals/conversions with funnel and behavior analysis.

Comparison with Google Analytics alternatives

• Log analysis/hosting built-in stats: Fewer details on events and segments; suitable for basic traffic views.
• Other platforms (e.g., Matomo, Adobe Analytics): May offer broader customization or data control; require different implementation approaches.
• BI without client-side tracking: Good for business data, but does not cover on-site behavioral events without separate collection.

Learning coverage: mastering Google Analytics

Skills highlighted

• Setting up GA from scratch and basic data validation.
• Building Audience, Acquisition, and Behavior views.
• Using segments, dimensions, and comparisons for depth.
• Assessing page and channel effectiveness via goals/conversions.
• Working with UTM tags, filters, permissions, and alerts.