SQL for Data Analysis
Answer business questions from relational databases with PostgreSQL.
View courseWe teach three connected areas — data & analytics, business intelligence and AI. Every open course publishes its full content; download it before you decide.
Answer business questions from relational databases with PostgreSQL.
View courseClean, reshape, summarise and chart data with Pandas and Matplotlib.
View courseSurvey and research data, end to end — cleaning through hypothesis testing and reporting.
View courseCleaning, lookups, pivot tables and charts — the foundation for everything else.
From raw files, databases and APIs to a published, auto-refreshing dashboard.
View courseFor Power BI developers: lakehouse, pipelines and Direct Lake semantic models on Microsoft Fabric.
Register interestStar schemas, performance and the DAX patterns behind reliable enterprise reports.
Team workshops on site or remote — and open courses for individuals. See all AI courses
Prompts that produce usable output, and how to check an answer before you rely on it.
DetailsWhat is real and what is vendor noise; choosing a first use case.
DetailsWhole teams on their real recurring tasks, ending in a written team AI policy. Also runs as an open batch.
View courseMap a workflow, connect systems, and build automations that handle failure.
DetailsBuild AI workflows and agents in n8n that read, decide, draft and hand over to a person to approve.
Register interestAI inside Excel, SQL, Python and Power BI — faster analysis, with the checks that catch what AI gets wrong.
Register interestEvery course stands alone. These are the orders we recommend if you know your destination.
MIS, finance, operations and reporting teams.
Professionals, managers and operations teams.
Answer four questions, or tell us what you do today. We’ll suggest one course, not five.