By sector
The same skills, very different uses
Excel, SQL, Power BI and generative AI are everywhere — but they aren't used the same way in a bank as they are in a workshop.
Six contexts
What it's actually for, in your work
Our courses don't change from one sector to another. What changes is the order in which to tackle them and the examples you practise on.
Banking and finance
Large volumes, frequent checks, recurring reporting.
- Making reporting tables reliable and automating them
- Cross-referencing sources with SQL rather than by hand
- Building monitoring dashboards
Industry and production
Machine data and indicators that are often under-used.
- Tracking production and quality with clear indicators
- Replace scattered files with a single dashboard
- Automate repetitive reports and statements
Retail and distribution
Plenty of customer data, little time to make use of it.
- Analyse sales and seasonality
- Measure the real impact of marketing campaigns
- Segment and better target your communication
Healthcare and social services
Administrative teams to equip, within a demanding framework.
- Master spreadsheets for activity tracking
- Produce clear performance indicators
- Understand the uses and limits of AI
Public sector
Dispersed agents, budget constraints, data to make the most of.
- Build a data culture among your agents
- Train without travel or sessions to organise
- Understand AI before adopting it
Tech and services
Teams already comfortable with the basics, looking to go further.
- Python for analysis and automation
- Make everyday use of generative AI
- Steer the business with data
A useful note: we do not offer sector-specific regulatory training — workplace safety, financial compliance, care protocols. Our field is data, artificial intelligence, office productivity and digital marketing. If your need lies elsewhere, we will tell you rather than trying to fit it into our catalogue.
Is your situation a particular one?
Describe it to us. We'll be frank about what we can cover — and what we can't.