Data Engineering & Analytics

A practical path through working with data — from understanding what data analytics is and how the analytics lifecycle flows, through the types and measurement scales of data, descriptive statistics, data collection, cleaning and quality, the four kinds of analytics, visualization, spreadsheets and databases, the basics of SQL, correlation versus causation, KPIs, and data ethics. Built for learners who want to reason about data with genuine judgement — choosing the right chart, the right statistic, and the right question — rather than memorising tool buttons.

Data Engineering & Analytics certifications

• Data Analytics Foundations — Foundation. Read, clean, summarise and question data with confidence
• SQL & Data Modeling Associate — Associate. Query confidently and design schemas that hold up under load
• Data Engineering Professional — Professional. Build reliable pipelines, warehouses and lakehouses end to end
• Big Data & Streaming — Professional. Design and operate real-time data pipelines at scale
• Data Architecture Expert — Expert. Prove expert-level data architecture judgment under real constraints