CC12 · Team Training: Claude Code for Data & Research
Get your data team turning questions into answers conversationally — against your real datasets, not synthetic ones.
For data team leads or research department heads who want their team using Claude Code on real workflows — cleaning, transforming, analysing, visualising — against YOUR datasets and YOUR research questions. We come into your team, work the toolchain across your data sources, and leave you with reproducible workflows you'll actually re-run.
$2500 $2000 + GSTIntroductory · ends 31 Jul
BookingFlexible — scheduled after booking
Enquire
Enquire for dates that suit your team
Who it's for
For data team leads or research department heads who want their team using Claude Code on real workflows — cleaning, transforming, analysing, visualising — against YOUR datasets and YOUR research questions. We come into your team, work the toolchain across your data sources, and leave you with reproducible workflows you'll actually re-run.
- You lead a data, analytics, or research team
- You have real datasets you want the team working on (not synthetic ones)
- You want reproducible workflows your team can keep using
- Your team can code (Python or R) — this is technical training
What you'll leave with
✓Your team using Claude Code conversationally against your real data
✓One reproducible analysis workflow built end-to-end during the session
✓Connections to your team's actual data sources working
✓Shared mental model of when AI analysis is appropriate vs when it isn't
✓Direct line to Dennis for follow-up questions for 2 weeks post-delivery
What we cover
1. Pre-call data capture
We capture your data sources, research questions, and current pain ahead of time.
2. Connect to your sources
Get Claude Code talking to your CSVs, databases, JSON feeds, APIs.
3. Live cleaning + analysis
Work a real dataset of yours end to end — data prep, exploration, statistics.
4. Visualisation + reproducibility
Build a workflow your team can re-run, not a one-off notebook.
5. Limits + ethics
When AI-augmented analysis is appropriate and when it isn't.
Format & prerequisites
Duration
4 hours
Format
Private, tailored to your team
Prerequisite
Team familiar with Claude Code or willing to install during pre-work
Bring
Sample datasets + 2-3 research questions your team works on. Pre-call to align on which we use.
Tools
Claude Code · Claude Desktop app · Google Gemini
Paid Claude plan required (Pro or above).
Full setup guide →
Facilitator
Dr Dennis Wollersheim
CTO · Co-founder · Facilitator · LinkedIn
PhD in Computer Science, Bachelor of Social Work — decades of experience turning messy data into meaningful insight, first with traditional tools, now with AI as a force multiplier. Dennis built the AI systems that run Real Minds AI: MCP servers, vault management, multi-agent workflows, automated state machines, a transcript/RAG pipeline, and an AI log collector. He doesn't just teach Claude Code — he lives in it.
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