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DATA-014 Data Analytics and Business Intelligence
PROGRAMME BROCHURE

Data Science Foundations

An applied five-day programme focused specifically on Data Science Foundations.

Duration 5 days
Level Professional
Programme DATA-014
KAIZEN EUROPEAN ACADEMY Executive & Professional Development www.kaizeneurope.academy
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Programme Overview

This five-day Kaizen European Academy programme is dedicated specifically to Data Science Foundations. It develops practical capability in Data Science Foundations through structured explanation, applied tools, realistic scenarios and guided workshops. Participants move from core concepts to hands-on application, performance control and an implementation plan that can be transferred directly to their workplace.

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Learning Objectives

Explain the essential concepts, terminology and professional context of Data Science Foundations.
Apply the principal methods and tools used in Data Science Foundations.
Analyse realistic situations and make evidence-based decisions related to Data Science Foundations.
Evaluate performance, risk and control requirements in Data Science Foundations.
Develop a practical implementation or improvement plan for Data Science Foundations.

Who Should Attend

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

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.

Learning Outcomes

Explain the essential concepts, terminology and professional context of Data Science Foundations. Apply the principal methods and tools used in Data Science Foundations. Analyse realistic situations and make evidence-based decisions related to Data Science Foundations. Evaluate performance, risk and control requirements in Data Science Foundations. Develop a practical implementation or improvement plan for Data Science Foundations.

Prerequisites

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

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Course Outline

Day01

Data Science Foundations: Foundations and Operating Context

  • Scope, terminology and professional context of Data Science Foundations
  • Current practices and emerging trends in Data Science Foundations
  • Roles, responsibilities and stakeholder expectations in Data Science Foundations
  • Diagnostic assessment of current Data Science Foundations practices
Day02

Core Methods and Tools for Data Science Foundations

  • data sources
  • data quality
  • data preparation
  • analysis
Day03

Applied Practice in Data Science Foundations

  • statistics
  • visualization
  • dashboards
  • KPIs
Day04

Performance, Risk and Control in Data Science Foundations

  • SQL
  • Python
  • BI
  • predictive analytics
Day05

Data Science Foundations: Integrated Workshop and Implementation

  • data governance
  • privacy
  • storytelling
  • decision support
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What You Will Receive

Programme learning materials
Practical resources and templates where applicable
Kaizen completion certificate
Participant support throughout the learning week
Kaizen European Academy

Executive & Professional Development across selected European destinations.

CONTACT & INFORMATION

Website: www.kaizeneurope.academy
Contact: www.kaizeneurope.academy/#contact