Youth 10–13
Designed for young learners aged 10–13. It is especially useful for learners who need a structured, practical route into predictive analytics rather than a purely theoretical overview.
ESH-05677 · Data Science
Predictive Analytics Applied Lab for Youth 10–13 — Data Science
A 18-hour intermediate course for young learners aged 10–13 who want to produce a complete applied project in predictive 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.
Live online18 hoursIntermediateYouth 10–13Build pathway
What you need
No prior business experience required.
European Startup Hub Certificate of Completion — Predictive Analytics Applied Lab
A staged portfolio of applied outputs culminating in a final project.
Learning outcomes
What you will be able to do.
Outcome 1
Explain the core principles of predictive analytics in the context of data science.
Outcome 2
Diagnose a realistic predictive analytics challenge using structured startup tools.
Outcome 3
Build a practical predictive analytics output appropriate for youth 10–13.
Outcome 4
Evaluate evidence, assumptions and trade-offs before making predictive analytics decisions.
Outcome 5
Apply predictive 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
12 course modules.
Each module combines explanation, examples and an applied activity.
Module 1
Foundations of Predictive Analytics
Practical study of foundations of predictive 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 Predictive Analytics
Practical study of tools and frameworks for predictive 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: Predictive Analytics in practice
Practical study of case study: predictive analytics in practice with examples, prompts and an applied activity.
Module 11
Applied workshop: build your Predictive Analytics output
Practical study of applied workshop: build your predictive analytics 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
A staged portfolio of applied outputs culminating in a final 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?
Predictive Analytics Applied Lab for Youth 10–13 — Data Science · 18 hours · Live online
Enrol for €445