Growth-Stage Teams
Designed for startup teams moving from early traction toward scale. It is especially useful for learners who need a structured, practical route into business analytics rather than a purely theoretical overview.
ESH-05403 · Data Science
Business Analytics Practitioner for Growth-Stage Teams — Data Science
A 12-hour intermediate course for startup teams moving from early traction toward scale who want to turn concepts into practical startup outputs in business analytics. 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 online12 hoursIntermediateGrowth-Stage TeamsBuild pathway
What you need
Experience working in a startup or scale-up environment is recommended.
European Startup Hub Certificate of Completion — Business Analytics 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 business analytics in the context of data science.
Outcome 2
Diagnose a realistic business analytics challenge using structured startup tools.
Outcome 3
Build a practical business analytics output appropriate for growth-stage teams.
Outcome 4
Evaluate evidence, assumptions and trade-offs before making business analytics decisions.
Outcome 5
Apply business analytics 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 Business Analytics
Practical study of foundations of business analytics 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 Business Analytics
Practical study of tools and frameworks for business analytics 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: Business Analytics in practice
Practical study of case study: business analytics 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?
Business Analytics Practitioner for Growth-Stage Teams — Data Science · 12 hours · Self-paced online
Enrol for €150