Data Analyst

Understand the role and build the skills needed to perform it.

A Data Analyst turns data from multiple sources into reliable information that helps an organization understand what is happening, measure performance and make better decisions. The role involves framing business questions, checking data quality, building analyses and metrics, and communicating results clearly to decision-makers.

This skills pathway organizes the training needed to build coherent operational capability: the Professional Data Analyst pathway is the core foundation, complemented by SQL, Excel, Power BI, Python and ChatGPT according to their role in day-to-day practice.

🎯 Essential

Professional Data Analyst

Provides the complete role foundation: scoping, data quality, analysis, visualisation, governance and professional communication.

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🧩 Recommended

SQL

Strengthens the ability to query, reconcile and control structured data directly.

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Excel

Provides an essential operational tool for exploring, checking, reconciling and quickly presenting data.

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Power BI

Strengthens dashboard building, analytical modelling and KPI communication.

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➕ Complementary

Python

Extends analysis into automation, reproducible processing and larger data volumes.

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ChatGPT

Adds conversational assistance for analysis, documentation and communication while keeping human validation central.

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You remain free to purchase each learning track separately, at your own pace.

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