ESH-05495 · Data Science

Statistics for Startups Advanced for Youth 14–17 — Data Science

A 20-hour advanced course for teen founders and secondary-school learners who want to solve more complex strategic and execution problems in statistics for startups. The course combines the data science context with practical frameworks, realistic cases, guided exercises and a final applied output. Participants finish with a structured approach they can adapt to a real venture, team or project.

Self-paced online20 hoursAdvancedYouth 14–17Scale pathway
Who it is for

Youth 14–17

Designed for teen founders and secondary-school learners. It is especially useful for learners who need a structured, practical route into statistics for startups rather than a purely theoretical overview.

Prerequisites

What you need

Curiosity about business or technology; no prior startup required.

Completion

European Startup Hub Certificate of Completion — Statistics for Startups Advanced

Advanced case work, strategic analysis and a capstone decision brief.

Learning outcomes

What you will be able to do.

Outcome 1

Explain the core principles of statistics for startups in the context of data science.

Outcome 2

Diagnose a realistic statistics for startups challenge using structured startup tools.

Outcome 3

Build a practical statistics for startups output appropriate for youth 14–17.

Outcome 4

Evaluate evidence, assumptions and trade-offs before making statistics for startups decisions.

Outcome 5

Apply statistics for startups methods to a venture, project or organisational scenario.

Outcome 6

Create a next-step action plan that can be used after the course.

Full syllabus

12 course modules.

Each module combines explanation, examples and an applied activity.

Module 1

Foundations of Statistics for Startups

Practical study of foundations of statistics for startups with examples, prompts and an applied activity.

Module 2

The Data Science context

Practical study of the data science context with examples, prompts and an applied activity.

Module 3

Customers, users and stakeholder needs

Practical study of customers, users and stakeholder needs with examples, prompts and an applied activity.

Module 4

Tools and frameworks for Statistics for Startups

Practical study of tools and frameworks for statistics for startups with examples, prompts and an applied activity.

Module 5

Evidence, data and assumptions

Practical study of evidence, data and assumptions with examples, prompts and an applied activity.

Module 6

Designing the approach

Practical study of designing the approach with examples, prompts and an applied activity.

Module 7

Execution and operating decisions

Practical study of execution and operating decisions with examples, prompts and an applied activity.

Module 8

Measurement and key indicators

Practical study of measurement and key indicators with examples, prompts and an applied activity.

Module 9

Risks, ethics and common failure modes

Practical study of risks, ethics and common failure modes with examples, prompts and an applied activity.

Module 10

Case study: Statistics for Startups in practice

Practical study of case study: statistics for startups in practice with examples, prompts and an applied activity.

Module 11

Applied workshop: build your Statistics for Startups output

Practical study of applied workshop: build your statistics for startups output with examples, prompts and an applied activity.

Module 12

Action plan and next milestones

Practical study of action plan and next milestones with examples, prompts and an applied activity.

Assessment

Advanced case work, strategic analysis and a capstone decision brief.

Included materials

Digital course notes · Practical worksheets · Case exercises · Action-plan template · Completion record in ESH ID

Learning support

Platform learning support; live facilitator interaction is included where the delivery format states Live online or Blended online.

Course information & disclaimer

Educational programme. Completion does not constitute professional, legal, financial or investment advice and does not guarantee funding, employment or business outcomes. Catalogue version 2026.1 · Last reviewed 2026-08-24.

Ready to begin?

Statistics for Startups Advanced for Youth 14–17 — Data Science · 20 hours · Self-paced online

Enrol for €300