Data Literacy & Fluency Bootcamp
Think critically, read charts honestly, decide with confidence. A 2-day course for non-technical business professionals — marketing, sales/ops, finance, HR — built around one running case study, Atlas Freight Systems, with no coding required.
This course is in active production. The curriculum below is finalized and delivery-ready. There's no enrollment or pricing yet — leave your email and we'll tell you the moment it's ready, or ask us about running it as a live in-house cohort for your team.
A harder person to mislead with a bad chart
Atlas Freight Systems's newly hired Chief Data Officer noticed every department — Regional Ops, Marketing, Finance, HR — makes big decisions from spreadsheets nobody double-checks. This bootcamp is her company-wide response. Day 1 builds critical-thinking foundations (data quality, statistics, charts, cognitive traps); Day 2 applies them with real tools (Excel/Sheets, Power BI, SCQA storytelling, AI literacy, ethics) and closes with a live capstone decision simulation. The goal isn't to make everyone a data analyst — it's to make everyone harder to mislead with a bad chart or a confident-sounding number.
What you'll be able to do
- Audit a spreadsheet for data-quality problems using the industry-standard six DAMA dimensions, instead of a vague 'this looks off.'
- Know when to trust the mean, when to reach for the median instead, and why a single outlier can quietly rewrite a headline number.
- Spot a truncated axis, a dual-axis trick, and a cherry-picked timeframe on sight — and build honest charts of your own.
- Explain why a strong correlation never proves causation, and actually find the confounding variable instead of just gesturing at the phrase.
- Build a real, decluttered, interactive dashboard in Power BI Desktop using PivotTable and XLOOKUP skills you'll also use in Excel or Google Sheets.
- Structure a finding using SCQA and deliver it as a 60-second, recommendation-first pitch a non-analyst audience can act on.
- Verify an AI-generated data summary against its source before repeating it, and recognize a proxy-variable bias risk before it reaches a decision.
Who it's for & prerequisites
- Any non-technical business professional who regularly reads, presents, or acts on data — no prior analytics or coding background assumed.
- Managers and decision-makers who need to interrogate a report or dashboard someone else built, not just build one themselves.
- Basic comfort opening and editing a spreadsheet (Excel or Google Sheets) — no formulas or prior spreadsheet training required going in.
- A Windows machine (or Mac with Parallels/VMware Fusion) for the Power BI Desktop sessions — Mac users with neither can substitute Tableau Public.
Grounded in current numbers, not a hunch
From DataCamp's State of Data & AI Literacy report (2026).
| Statistic | What it means | |
|---|---|---|
| 88% of leaders call data literacy essential | This is a recognized, urgent business skill gap, not a nice-to-have training topic | |
| 42% of organizations train for it at scale | Most professionals are expected to have this skill without ever being formally taught it | |
| 74% of employers would pay a salary premium for it | Data fluency is a genuinely marketable, career-relevant skill | |
| 60% report an organizational data skills gap | The problem this course solves is the norm, not the exception |
14 sessions across 2 days
Day 1 (Sessions 0–6) builds the four critical-thinking lenses: data quality, descriptive statistics, chart literacy, and correlation vs. causation. Day 2 (Sessions 7–13) applies them with Power BI, SCQA storytelling, AI trust-but-verify, and data ethics, closing with a live capstone. Tap a session for its length.
Trion Consulting Group
Built from the same practitioner lens used across Trion's enterprise data and digital-transformation engagements — teaching data literacy as a practical, daily habit rather than a theoretical statistics course.
Want early access, or a cohort for your whole team?
This course is delivery-ready but hasn't opened for public enrollment yet. Reach out and we'll keep you posted — or talk to us about running it as a live, in-house 2-day bootcamp for your team ahead of the public launch.