Sector 02
Data analytics
200 learners, 267 workshop hours, 6 modules
In analytics, artificial intelligence has cut the road from raw data to a finished chart from days to minutes. It has also cut the road to a chart that looks convincing and is wrong. We teach both sides: how to use the speed and how to check whether the result holds.
What employers asked for
- AI-supported data visualisation, named by 52 per cent of surveyed companies
- Automated statistical analysis, 48 per cent
- Machine learning basics, 35 per cent
Figures from the preliminary needs analysis carried out in January 2024 among 120 stakeholders in Poland, Czechia and Slovakia. The full needs analysis run inside the project reports in February 2027.
What the six modules cover
- Preparing and cleaning data, because everything downstream depends on it
- AI-supported visualisation and matching the chart to the question
- Automated statistical analysis and reading what the tool returned
- Machine learning basics without advanced mathematics, at the level of intuition and use
- Where bias in data comes from and how to spot it
- Presenting a result to someone who does not work with data
What a participant can do afterwards
- Bring a dataset to a state where it can actually be worked on
- Build a readable chart and justify that particular choice
- Point out where an analysis may mislead
We work on open datasets and free tools so participants can keep practising after the course ends.
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