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DATA-001 Data Analytics and Business Intelligence
PROGRAMME BROCHURE

Data Analysis Fundamentals

An applied five-day programme focused specifically on Data Analysis Fundamentals.

Duration 5 days
Level Professional
Programme DATA-001
KAIZEN EUROPEAN ACADEMY Executive & Professional Development www.kaizeneurope.academy
01

Programme Overview

This five-day Kaizen European Academy programme is dedicated specifically to Data Analysis Fundamentals. It develops practical capability in Data Analysis 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.

02

Learning Objectives

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

Who Should Attend

Professionals, specialists, supervisors and managers whose responsibilities involve data analysis fundamentals 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 Analysis Fundamentals. Apply the principal methods and tools used in Data Analysis Fundamentals. Analyse realistic situations and make evidence-based decisions related to Data Analysis Fundamentals. Evaluate performance, risk and control requirements in Data Analysis Fundamentals. Develop a practical implementation or improvement plan for Data Analysis Fundamentals.

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 Analysis Fundamentals: Foundations and Operating Context

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

Core Methods and Tools for Data Analysis Fundamentals

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

Applied Practice in Data Analysis Fundamentals

  • statistics
  • visualization
  • dashboards
  • KPIs
Day04

Performance, Risk and Control in Data Analysis Fundamentals

  • SQL
  • Python
  • BI
  • predictive analytics
Day05

Data Analysis Fundamentals: 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