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Data Science Foundations

Five days of practical AI application, governance and implementation for Data Science Foundations.

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Programme at a glance

ReferenceAI-007

Duration5 days

LevelProfessional

Learning topics20

KAIZEN EUROPEAN ACADEMY

Programme overview

This five-day Kaizen European Academy programme is specifically about Data Science Foundations; AI is the core subject throughout all five days. Participants learn how artificial intelligence and generative AI can be applied to Data Science Foundations, design practical workflows, evaluate tools and outputs, manage governance and risk, and build an implementation roadmap supported by hands-on exercises.

What you will gain

Learning objectives

Explain the AI, generative AI and automation concepts most relevant to Data Science Foundations.

Identify and prioritize high-value AI use cases in Data Science Foundations.

Design practical human-AI workflows and validate AI outputs for Data Science Foundations.

Manage privacy, bias, security, governance and human-oversight risks when using AI in Data Science Foundations.

Build a practical AI pilot and implementation roadmap for Data Science Foundations.

01 · Who Should Attend

Who Should Attend

Professionals, specialists, supervisors and managers whose responsibilities involve data science foundations or who need to build practical capability in this area.

02 · Programme Methodology

Programme Methodology

Instructor-led explanation, facilitated discussion, subject-specific case studies, practical templates, individual and group exercises, simulations or technical scenarios where appropriate, peer review and a final implementation workshop.

03 · Learning Outcomes

Learning Outcomes

Explain the AI, generative AI and automation concepts most relevant to Data Science Foundations. Identify and prioritize high-value AI use cases in Data Science Foundations. Design practical human-AI workflows and validate AI outputs for Data Science Foundations. Manage privacy, bias, security, governance and human-oversight risks when using AI in Data Science Foundations. Build a practical AI pilot and implementation roadmap for Data Science Foundations.

04 · Prerequisites

Prerequisites

No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.

Academic journey

Course Outline

A structured day-by-day learning agenda designed around practical application and progressive skill development.

Day

Module 1

AI Foundations for Data Science Foundations

Mapping AI opportunities across Data Science Foundations activities

Prioritizing AI use cases for Data Science Foundations

Preparing Data Science Foundations data and knowledge for AI

Designing human-AI workflows for Data Science Foundations

Day

Module 2

AI Use Cases and Workflow Design in Data Science Foundations

Using generative AI for Data Science Foundations tasks

AI-assisted analysis and decision support in Data Science Foundations

Automation opportunities in Data Science Foundations

Building reusable prompts and AI work patterns for Data Science Foundations

Day

Module 3

AI Tools, Data and Automation for Data Science Foundations

Validating AI outputs in Data Science Foundations

Measuring AI productivity and quality in Data Science Foundations

Privacy and confidentiality risks in Data Science Foundations

Bias and fairness considerations in Data Science Foundations

Day

Module 4

Responsible AI, Risk and Governance in Data Science Foundations

Human oversight and approval controls in Data Science Foundations

AI governance roles for Data Science Foundations

Selecting AI platforms and vendors for Data Science Foundations

Change management for AI adoption in Data Science Foundations

Day

Module 5

Applied AI Lab: Data Science Foundations Implementation

Building an AI pilot for Data Science Foundations

Defining AI KPIs and ROI for Data Science Foundations

Scaling successful AI use cases in Data Science Foundations

90-day AI implementation roadmap for Data Science Foundations

KAIZEN EUROPEAN ACADEMY

What You Will Receive

Programme learning materials

Practical resources and templates where applicable

Kaizen completion certificate

Participant support throughout the learning week

Live learning calendar

Upcoming dates for this programme

Choose one of the next planned European dates, or create a private delivery around your own schedule.

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PRIVATE

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