Deep Dive: Course Details, Pricing & Timeline

Learn the core interface, standard reports, data exploration, and audience creation in Google Analytics 4. No prior analytics experience needed.

• GA4 Property Setup and Data Streams
• The GA4 Data Model: Events and Parameters
• Standard vs. Custom Reports
• Creating Funnel and Path Explorations
• Building Conversion Goals & Audiences
• Attribution Basics and Channel Groupings

• Ability to interpret traffic, engagement, and conversion data.
• Skills to build custom reports that answer business questions.
• Understanding of attribution and measuring channel performance.

Master Google Tag Manager to deploy tracking scripts, implement custom events (clicks, scrolls, form submits), and ensure conversion data integrity for paid media campaigns.

• GTM Setup and Container Migration
• Tags, Triggers, and Variables Deep Dive
• Implementing Form Submission Tracking
• Custom Event Tracking via Data Layer
• Debugging using GTM Preview Mode
• Connecting GA4, Meta/Facebook Pixel, and Google Ads

• The ability to implement any tracking tag without developer assistance.
• Ensuring 99% accuracy in conversion reporting for better ROI.
• Mastery of tracking essential user actions (micro-conversions).

The most advanced course. Deep dive into e-commerce data layers, attribution, and developing a holistic measurement plan tied to executive KPIs.

• Measurement Strategy Frameworks (C-Suite level)
• Enhanced E-commerce Data Layer Implementation
• Custom Channel Groupings and Funnel Analysis
• Cross-Domain and Cross-Platform Tracking
• Introduction to Server-Side Tagging Concepts
• KPI Mapping and Predictive Audiences

• The strategic skills needed to lead a data-driven marketing team.
• The technical knowledge to audit complex e-commerce tracking.
• Ability to translate raw data into multi-million Rand/Dollar decisions.

Learn the fundamental language for querying databases. Essential for data cleaning, transformation, and preparation for advanced analysis.

• Basic Querying: SELECT, FROM, WHERE
• Data Filtering and Sorting
• Understanding Primary/Foreign Keys
• Data Joining (INNER, LEFT, RIGHT)
• Aggregation Functions (SUM, COUNT, AVG)
• Cleaning and Transforming Data

• The ability to confidently extract and manage data from any relational source.
• A foundational technical skill required for almost all senior analyst roles.
• Efficiency in preparing clean datasets for Looker Studio or other tools.

Transform complex datasets into engaging visuals (dashboards) and learn to communicate findings clearly to drive effective business action.

• Looker Studio (Google Data Studio) Mastery
• Principles of Visual Design (Colors, Density, Flow)
• Choosing the Right Chart Type for Metrics
• Creating Interactive & Drill-Down Dashboards
• Narrative Structure for Data Presentations
• Setting Up Automated Data Refreshers

• The skill to create clean, executive-level reports that get noticed.
• An understanding of how visual biases influence decision-making.
• Hands-on experience building professional, automated dashboards.

For marketers who work with exported data every day and want to stop fighting messy spreadsheets — whether or not you plan to go on to SQL, Python or BI tools.

• Formulas & Functions (SUMIFS, COUNTIFS)
• Lookups (VLOOKUP, XLOOKUP) & Cleaning Messy Exports
• Building Pivot Tables From Scratch
• Grouping, Summarising and Filtering With Pivot Tables
• Interactive Pivot Tables With Slicers
• Charts & Conditional Formatting for At-a-Glance Reporting

• Ability to build SUMIFS/COUNTIFS formulas and lookups instead of manually filtering data.
• Skills to build and refresh pivot tables and interactive slicers for fast reporting.
• A finished report combining formulas, pivot tables, charts and conditional formatting.

For marketers and analysts who work with a CRM or marketing automation platform (HubSpot, Marketo, Salesforce or similar) and need to report on it, not just use it.

• Contacts, Deals and Lifecycle Stages
• How a CRM Data Model Actually Works
• Building Reports and Dashboards in HubSpot
• Choosing the Right Report Type for the Question
• Connecting CRM Data to GA4 and Looker Studio
• Campaign Attribution Inside a Marketing Automation Platform

• Ability to build reports and dashboards inside HubSpot, with the same logic translating to Marketo or Salesforce.
• Skills to connect CRM data with GA4/Looker Studio and explain attribution honestly.
• Confidence to spot and fix a lifecycle-stage or data-model problem before it corrupts your reporting.

For analysts who already build dashboards in Looker Studio and want the more advanced modelling and calculation power of Power BI, with enough Tableau orientation to work across both.

• Power BI Desktop Basics
• The Data Model and Table Relationships
• DAX Fundamentals
• Building Core Marketing Measures (CPA, ROAS) in DAX
• Building and Publishing an Interactive Dashboard
• Tableau Orientation

• Ability to build a proper data model with table relationships instead of one flat sheet.
• Skills to write DAX measures for real marketing metrics like cost-per-conversion and ROAS.
• Working orientation in Tableau, so you can move between the two leading BI tools with confidence.

For analysts comfortable querying and cleaning data in SQL who want to move beyond spreadsheets and queries into a scriptable, repeatable analytics workflow.

• Python Fundamentals for Analysts
• Loading and Exploring Data With Pandas
• Cleaning and Reshaping Data With Pandas
• Merging and Grouping DataFrames (Like a SQL Join/GROUP BY)
• Charting With Matplotlib & Seaborn
• Automating a Recurring Report End to End

• Ability to load, clean and reshape marketing data in pandas instead of by hand in a spreadsheet.
• Skills to build presentation-ready charts with matplotlib and seaborn.
• A script that automates a recurring report, with a clear sense of what still needs a human judgement call.

The Specialist Track capstone. For analysts and marketers who already have working GA4 and dashboard skills and want to use AI tools to work faster, without outsourcing judgement to a chatbot.

• GenAI-Assisted Report Drafting & Prompt Engineering
• Spotting and Managing Hallucination Risk
• Predictive Audiences and Forecasting Basics
• Anomaly Detection in Campaign Data
• Responsible-AI Guardrails for Client Reporting
• Building an End-to-End AI-Assisted Report

• Ability to turn a raw data export into a fact-checked, client-ready narrative using GenAI.
• Skills to build simple forecasts and anomaly checks without overstating their certainty.
• A responsible-AI standard for what to automate, what to disclose, and what never goes into a public chatbot.