ESH-06042 · Data Science

Decision Intelligence Practitioner for Professionals & Executives — Data Science

A 12-hour intermediate course for professionals, managers and innovation leaders who want to turn concepts into practical startup outputs in decision intelligence. 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 hoursIntermediateProfessionals & ExecutivesBuild pathway
Who it is for

Professionals & Executives

Designed for professionals, managers and innovation leaders. It is especially useful for learners who need a structured, practical route into decision intelligence rather than a purely theoretical overview.

Prerequisites

What you need

Professional experience is helpful; startup experience is not essential.

Completion

European Startup Hub Certificate of Completion — Decision Intelligence 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 decision intelligence in the context of data science.

Outcome 2

Diagnose a realistic decision intelligence challenge using structured startup tools.

Outcome 3

Build a practical decision intelligence output appropriate for professionals & executives.

Outcome 4

Evaluate evidence, assumptions and trade-offs before making decision intelligence decisions.

Outcome 5

Apply decision intelligence 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 Decision Intelligence

Practical study of foundations of decision intelligence 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 Decision Intelligence

Practical study of tools and frameworks for decision intelligence 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: Decision Intelligence in practice

Practical study of case study: decision intelligence 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.

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Decision Intelligence Practitioner for Professionals & Executives — Data Science · 12 hours · Blended online

Enrol for €230