Students & Graduates
Designed for university students and recent graduates. It is especially useful for learners who need a structured, practical route into statistics for startups rather than a purely theoretical overview.
ESH-05502 · Data Science
Statistics for Startups Practitioner for Students & Graduates — Data Science
A 12-hour intermediate course for university students and recent graduates who want to turn concepts into practical startup outputs 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.
Blended online12 hoursIntermediateStudents & GraduatesBuild pathway
What you need
No prior startup experience required.
European Startup Hub Certificate of Completion — Statistics for Startups Practitioner
Applied exercises, one milestone submission and a final practical project.
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 students & graduates.
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
10 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.
Assessment
Applied exercises, one milestone submission and a final practical project.
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 Practitioner for Students & Graduates — Data Science · 12 hours · Blended online
Enrol for €230