✓ HRDC Refundable ✓ MQA Approved ✓ Certificate Awarded

Data & Analytics Mastery

Mauritius Edition — 2026  |  Data-Driven Marketing

Master GA4, Looker Studio, attribution modelling, ROAS optimisation and client reporting. Learn to turn raw data into strategic decisions that drive measurable business results.

8 Weeks (2 Months) 48 Total Hours All levels welcome

Designed & delivered by Avinesh Bundhoo & Fareez Fawdar  |  In partnership with Oreegami Mauritius

Data & Analytics Mastery
Programme Overview
Data & Analytics Mastery — Mauritius 2026
8 weekly sessions × 4 hours each
32h instruction + 16h practical work
In-person / Hybrid / Online
Certificate upon completion
Contact for Pricing
Individual & team enrolments available
Send Enrolment Enquiry Request Programme Info
✓ HRDC Refundable ✓ MQA Approved
8
Weeks
(2 Months)
48h
Total Hours
(Instruction + Practical)
8
Modules
of Learning
4h
Per Session
Every Week

What you will achieve

Set up GA4 correctly with full conversion tracking and GTM
Build professional dashboards in Looker Studio from scratch
Master attribution modelling and make confident budget decisions
Identify ROAS improvement opportunities from campaign data
Set up and analyse GA4 e-commerce tracking for any online store
Create audience segments and export them to Google Ads
Produce client-ready reports that tell a clear data story
Build a complete measurement strategy tied to business objectives

Requirements

  • Basic computer literacy required. No prior analytics experience needed.
  • Familiarity with digital marketing basics is helpful but not essential.
  • Access to a Google account — GA4 demo account will be provided.
  • Ideal for marketing professionals, analysts, business owners, and agency staff.

About this programme

Analytics is the most underused competitive advantage in Mauritian digital marketing. Most businesses collect data — few know how to extract meaningful insight from it. This programme changes that.

Over 8 intensive weeks, you will build a complete analytics capability: from setting up GA4 correctly, to building dashboards that tell a story, to mastering attribution so you can confidently allocate budget where it works. Every session is hands-on, using real campaign data and live platform demos.

By the end, you will be able to build, present and defend a full analytics strategy — and know exactly which channels are earning their investment.

Programme Curriculum

8 Modules 8 Sessions × 4 hours each Weekly assignments included
MODULE 1 Analytics Foundations & GA4 Setup
3–4 hours
GA4 account structure, properties, data streams and interface navigation
Understanding GA4 events vs Universal Analytics sessions
Setting up conversion tracking: goals, key events, purchase tracking
Google Tag Manager (GTM) fundamentals: containers, triggers, tags, variables
UTM parameters and campaign tagging for accurate attribution
Data hygiene: filtering internal traffic, spam referrals, bot traffic
GA4 exploration reports: free-form, funnel, path and cohort explorations
Connecting GA4 to Google Ads for bidding and audience signals
Assignment
Set up a GA4 property for a fictional Mauritian e-commerce brand. Configure 5 conversion events, deploy via GTM, and document your tagging architecture.
MODULE 2 Looker Studio — Data Visualisation & Reporting
3–4 hours
Looker Studio interface: data sources, pages, components
Connecting GA4, Google Ads, and Meta Ads data to Looker Studio
Building scorecards, time series charts, bar charts and tables
Date range controls, filter controls and interactive elements
Creating a marketing performance dashboard from scratch
Blended data sources: joining GA4 + Google Ads in one chart
Report sharing and scheduled email delivery to clients
Design best practices: hierarchy, colour coding, white space
Assignment
Build a live multi-channel marketing dashboard in Looker Studio connecting GA4 + Google Ads. Present 5 key insights to a fictional client.
MODULE 3 Attribution Modelling & Customer Journey Analysis
3–4 hours
Understanding attribution: why it matters for budget decisions
Attribution models compared: Last Click, First Click, Linear, Time Decay, Data-Driven
GA4 attribution reports: Conversion paths, Model comparison
Assisted conversions: identifying which channels support vs close
Cross-device and cross-channel journeys in GA4
Incrementality testing: understanding true campaign impact
Channel contribution analysis: which channels earn their budget
Building an attribution recommendation for a real client scenario
Assignment
Analyse a sample GA4 dataset using 3 attribution models. Write a recommendation on which model to use and why, with projected impact on budget allocation.
MODULE 4 Advanced GA4: Audiences, Segments & Predictive Metrics
3–4 hours
Building GA4 audiences: event-based, demographic, predictive
Predictive metrics: purchase probability, churn probability, predicted revenue
User segments vs session segments vs event segments
Exporting audiences to Google Ads for RLSA and Display targeting
Custom dimensions and custom metrics: what to track beyond defaults
User lifetime value (LTV) analysis in GA4
Funnel analysis: identifying and fixing conversion drop-off points
Cohort analysis: understanding retention and long-term user behaviour
Assignment
Build 5 GA4 audiences for a Mauritian retail brand — including one predictive audience. Export to Google Ads and document the targeting rationale.
MODULE 5 ROAS Optimisation & Performance Analysis
3–4 hours
ROAS deep dive: calculating, benchmarking, and improving return on ad spend
Bid strategy optimisation: tCPA vs tROAS vs Maximise Conversions — when to switch
Budget allocation frameworks: how to distribute spend across channels
Search Impression Share analysis: identifying budget vs quality gaps
Portfolio bidding: managing multiple campaigns under shared targets
A/B testing methodology: structuring clean, readable experiments
Identifying and fixing campaigns with high spend but low contribution
Monthly performance review framework: the 10-point optimisation checklist
Assignment
Complete a ROAS audit for a provided campaign dataset. Identify 5 optimisation opportunities and present a prioritised action plan with projected impact.
MODULE 6 E-commerce Analytics & Revenue Tracking
3–4 hours
GA4 e-commerce setup: enhanced e-commerce events (view_item, add_to_cart, purchase)
Revenue tracking accuracy: common errors and how to fix them
Shopping behaviour analysis: funnel from product view to purchase
Average order value (AOV), conversion rate, and revenue per user metrics
Product performance: identifying top sellers and underperformers
Cart abandonment analysis and recovery strategies
E-commerce dashboards: key metrics every retailer needs
Connecting Shopify/WooCommerce to GA4 via GTM
Assignment
Set up GA4 e-commerce tracking for a fictional Mauritian online store using GTM. Build a revenue dashboard and identify 3 optimisation opportunities from the data.
MODULE 7 Client Reporting & Data Storytelling
3–4 hours
What makes a great marketing report vs a data dump
Report structure: executive summary, key findings, recommendations, appendix
Adapting reports for C-suite vs marketing team vs finance
Turning numbers into a narrative: the insight-driven approach
Monthly, quarterly and campaign wrap-up report formats
Presenting data live: handling questions, defending recommendations
Automated reporting: Looker Studio scheduled emails and live links
Building a report template library for scale
Assignment
Produce a full monthly performance report for a fictional Mauritian client using provided data. Present to the group and defend your insights.
MODULE 8 Capstone: Full Analytics Audit & Strategy
3–4 hours
End-to-end analytics audit of a real or fictional Mauritian business
Identify tracking gaps, attribution issues, and reporting weaknesses
Build a measurement framework: objectives → KPIs → metrics → reports
Create a 90-day analytics improvement roadmap
Present final dashboard, attribution model, and ROAS recommendations
Q&A with trainers — defend your data strategy
Assignment
Present a complete analytics audit and measurement strategy for a Mauritian business. Deliver a live Looker Studio dashboard + attribution recommendation + ROAS improvement plan.

Your Trainers

Avinesh Bundhoo
Avinesh Bundhoo
Global Media Performance Lead & AI Trainer

9+ years managing performance campaigns globally. Currently Global SEA Lead at Publicis Media, managing search activation for Pierre Fabre worldwide. Expert in GA4, attribution, AI marketing and ROAS optimisation.

FF
Fareez Fawdar
Team Lead SEA & SEM Manager

12+ years as a Digital Marketing Consultant. Team Manager – SEM at Publicis Global Delivery (PGD) Mauritius. MSc in Data Analytics & Marketing. Certified in Google Ads and Google Analytics.

Training Partner & Accreditation

Oreegami Mauritius
Delivered in official partnership with Oreegami Mauritius. All sessions are led by Avinesh Bundhoo and Fareez Fawdar as principal trainers.
HRDC Refundable
Employers can claim back full training cost through the HRDC levy refund scheme in Mauritius.
MQA Approved
Approved by the Mauritius Qualifications Authority. Participants receive an officially recognised certificate.

Ready to master data-driven marketing?

8 weeks. 48 hours. From GA4 setup to client dashboards. HRDC refundable.

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