Google Analytics 4 (GA4) Mastery Training Course

Google Analytics 4 (GA4) Mastery Training Course

Gain the skills you need to advance your career. This course offers hands-on learning, expert guidance, and real-world applications designed to help you grow.
Foundation | 10 days | Face to Face | Certificate
(4.5)
01

Course Overview

Course Summary
Course Title Google Analytics 4 (GA4) Mastery Training Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 2,200/KES 150,000 (Exclusive of VAT)
Course Fees (Virtual) TBA
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

 


Course Overview

This intensive training equips participants with end-to-end mastery of Google Analytics 4 (GA4), from setup and configuration to advanced analysis, reporting, and integration with business intelligence tools. The program emphasizes hands-on learning with real datasets, enabling professionals to effectively track user behavior, measure marketing ROI, and create actionable insights using GA4, Google Tag Manager, BigQuery, Power BI, and AI-based analytics.


Course Duration

10 Days


Target Audience

  • Digital Marketing Professionals

  • Data Analysts and Business Intelligence Specialists

  • CRM & Customer Insights Managers

  • E-commerce and Product Managers

  • Marketing Agencies and Consultants


Personal Impact

  • Gain confidence in setting up, customizing, and managing GA4 properties.

  • Learn to design customer journey tracking and event-driven analytics.

  • Acquire advanced skills in data visualization, dashboards, and reporting.

  • Strengthen ability to derive insights that improve ROI and strategy.


Organizational Impact

  • Improved data-driven decision-making across departments.

  • Enhanced ability to measure digital marketing and sales performance.

  • Stronger customer insights through cross-platform journey analysis.

  • Competitive advantage from predictive analytics and AI-driven insights.

Course Objectives

By the end of this course, participants will be able to:

  1. Configure and customize GA4 properties and data streams.

  2. Implement event tracking and enhanced measurement features.

  3. Analyze audience behavior, acquisition, engagement, monetization, and retention.

  4. Create dashboards and custom reports in GA4 and Power BI.

  5. Leverage BigQuery, AI, and predictive analytics for advanced insights.

02

Course Modules

Course Outline 

Module 1: Introduction to Google Analytics 4 (GA4)

  • Why GA4 vs Universal Analytics

  • GA4 data model: events & parameters

  • Setting up GA4 accounts and properties
    Case Study: Migrating from Universal Analytics to GA4


Module 2: Configuring GA4 Properties & Data Streams

  • Creating web and app data streams

  • Tagging setup via Google Tag Manager (GTM)

  • Debugging and validating data flows
    Exercise: Configure GA4 with GTM for a demo website


Module 3: Event Tracking & Enhanced Measurement

  • Predefined events and recommended events

  • Creating custom events & conversions

  • Event parameters and user properties
    Practical: Set up event tracking for form fills and e-commerce actions


Module 4: Audience & User Behavior Analysis

  • Audience segmentation in GA4

  • User explorer & lifecycle reporting

  • Understanding engagement metrics
    Case Study: Identifying high-value user segments


Module 5: Acquisition & Traffic Analysis

  • Analyzing sources: paid, organic, referral, direct, social

  • Campaign tagging with UTM parameters

  • Attribution modeling in GA4
    Practical Exercise: Compare campaign ROI with attribution models


Module 6: E-commerce & Monetization Tracking

  • Setting up e-commerce events

  • Tracking product impressions, add-to-cart, checkout, and purchase

  • Revenue analysis dashboards
    Case Study: Optimizing product funnel using GA4 insights


Module 7: Retention & Cohort Analysis

  • Cohort analysis for retention strategies

  • Funnel exploration & path analysis

  • Predictive metrics (churn probability, revenue prediction)
    Exercise: Build a retention dashboard for customer lifetime value


Module 8: Reporting & Dashboarding

  • Creating explorations in GA4

  • Building dashboards in Power BI with GA4 data

  • Using Data Studio/Looker Studio for visualization
    Practical: Design an executive marketing dashboard


Module 9: BigQuery & Advanced Analytics

  • Linking GA4 to BigQuery

  • Running SQL queries on GA4 raw data

  • Building advanced reports with GA4 + BigQuery + Power BI
    Case Study: Cross-platform user journey analysis


Module 10: AI, Predictive Analytics & Best Practices

  • Leveraging GA4 predictive audiences

  • AI-driven insights for campaigns and remarketing

  • Governance, compliance, and privacy best practices (GDPR, CCPA)
    Capstone Project: Build a GA4 analytics framework for your organization

03

Course Administration

Methodology

This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.

Accreditation

Participants will receive a Tech For Development Certificate of Course Completion.

Training Venue

Held at the Tech For Development Training Centre.

Accommodation & Airport Transfer

Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179

Tailor-Made

Customised training available.

Payment

Send proof of payment to letstalk@techfordevelopment.com.

Date & Location Cost
2026 Schedules
20 Jul - 31 Jul
Nairobi
KES 150,000 |
$2,200
Register
17 Aug - 28 Aug
Nairobi
KES 150,000 |
$2,200
Register
21 Sep - 02 Oct
Nairobi
KES 150,000 |
$2,200
Register
19 Oct - 30 Oct
Nairobi
KES 150,000 |
$2,200
Register
16 Nov - 27 Nov
Nairobi
KES 150,000 |
$2,200
Register
21 Dec - 01 Jan
Nairobi
KES 150,000 |
$2,200
Register
2027 Schedules
18 Jan - 29 Jan
Nairobi
KES 150,000 |
$2,200
Register
15 Feb - 26 Feb
Nairobi
KES 150,000 |
$2,200
Register
15 Mar - 26 Mar
Nairobi
KES 150,000 |
$2,200
Register
19 Apr - 30 Apr
Nairobi
KES 150,000 |
$2,200
Register
17 May - 28 May
Nairobi
KES 150,000 |
$2,200
Register
21 Jun - 02 Jul
Nairobi
KES 150,000 |
$2,200
Register
19 Jul - 30 Jul
Nairobi
KES 150,000 |
$2,200
Register
16 Aug - 27 Aug
Nairobi
KES 150,000 |
$2,200
Register
20 Sep - 01 Oct
Nairobi
KES 150,000 |
$2,200
Register
18 Oct - 29 Oct
Nairobi
KES 150,000 |
$2,200
Register
15 Nov - 26 Nov
Nairobi
KES 150,000 |
$2,200
Register
20 Dec - 31 Dec
Nairobi
KES 150,000 |
$2,200
Register
2028 Schedules
17 Jan - 28 Jan
Nairobi
KES 150,000 |
$2,200
Register
21 Feb - 03 Mar
Nairobi
KES 150,000 |
$2,200
Register
20 Mar - 31 Mar
Nairobi
KES 150,000 |
$2,200
Register
17 Apr - 28 Apr
Nairobi
KES 150,000 |
$2,200
Register
15 May - 26 May
Nairobi
KES 150,000 |
$2,200
Register
19 Jun - 30 Jun
Nairobi
KES 150,000 |
$2,200
Register
17 Jul - 28 Jul
Nairobi
KES 150,000 |
$2,200
Register
21 Aug - 01 Sep
Nairobi
KES 150,000 |
$2,200
Register
18 Sep - 29 Sep
Nairobi
KES 150,000 |
$2,200
Register
16 Oct - 27 Oct
Nairobi
KES 150,000 |
$2,200
Register
20 Nov - 01 Dec
Nairobi
KES 150,000 |
$2,200
Register
18 Dec - 29 Dec
Nairobi
KES 150,000 |
$2,200
Register