Data Validation & Economic Modeling Techniques
A disciplined, Excel-first program that builds the skills to validate data inputs, construct clean economic models, and communicate results with confidence across energy and related sectors.
- Next session
- 19 Oct 2026 – 22 Oct 2026 · +1 more
- Level
- intermediate
- Format
- Classroom
- Available in
- Munich, Germany · Madrid, Spain
- Language
- EN, AR
- Investment
- USD 5,160
Program overview
Decisions depend on numbers that stakeholders can trust. This course builds a structured approach to data intake, validation, and economic modeling — covering reconciliation checks, scenario analysis, and governance for updates. Delivered across four days and six focused modules, participants leave with ready-to-use templates and a complete, defensible workflow they can apply immediately.
Learning outcomes
- Build a disciplined intake and source-tracking process for data
- Apply cross-field reconciliation to catch errors before they propagate
- Construct clean, readable models that separate inputs from logic
- Make uncertainty and key drivers visible through scenario analysis
- Communicate quantitative results clearly to non-technical stakeholders
Curriculum
- Structured data intake and source documentation practices
- Validation techniques including cross-field reconciliation and change logging
- Model design principles: separating inputs, logic, and outputs
- Sensitivity analysis and low-central-high scenario construction
- Plain-language communication of results and decision options
- Governance frameworks for model updates and version control
Who should attend
- Analysts and economists who build or review quantitative models
- Finance professionals responsible for forecasting and scenario planning
- Energy sector professionals working with complex data inputs
- Project managers who need to validate and defend numerical outputs
- Data-driven decision-makers seeking structured modeling discipline
What's included
- Intake checklist and source register template
- Validation and change log templates
- Clean model template with balance checks and guardrails
- Sensitivity and scenario analysis pack
- Governance checklist for cadence, roles, and archiving
- Optional pointers for R and Stata users
Prerequisites
Working familiarity with Excel is assumed. No coding background required.
Upcoming sessions
- 19 Oct 2026 – 22 Oct 2026 Munich, Germany USD 5,160 Open
- 7 Dec 2026 – 10 Dec 2026 Madrid, Spain USD 5,160 Open
Common questions
Can I pay or hold a seat without payment? +
Yes — when you submit an enrollment request, we hold a tentative seat for you. Your training advisor will confirm payment options (invoice, card, bank transfer) before final confirmation. No payment is required to express interest.
Is there a group rate for my team? +
We offer reduced rates for groups of 3 or more from the same organisation, and we can deliver private cohorts on-site or virtually. Mention 'group booking' in your enrollment message and we'll get back with options.
What happens if I have to cancel? +
Cancellations more than 14 days before the start date are fully refundable. Within 14 days, you can transfer your seat to a colleague or to a future cohort at no extra cost. Full terms are in our AGB.
Do you offer this in-house at our company? +
Yes. Most of our programmes can be delivered on-site at your office, fully customised to your industry and team's level. Tell us in your message and an advisor will scope a private edition.
Continue exploring