Back to programme
DATA-013 Data Analytics and Business Intelligence
PROGRAMME BROCHURE

Big Data Fundamentals

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

Duration 5 days
Level Professional
Programme DATA-013
KAIZEN EUROPEAN ACADEMY Executive & Professional Development www.kaizeneurope.academy
01

Programme Overview

This five-day Kaizen European Academy programme is dedicated specifically to Big Data Fundamentals. It develops practical capability in Big Data 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 Big Data Fundamentals.
Apply the principal methods and tools used in Big Data Fundamentals.
Analyse realistic situations and make evidence-based decisions related to Big Data Fundamentals.
Evaluate performance, risk and control requirements in Big Data Fundamentals.
Develop a practical implementation or improvement plan for Big Data Fundamentals.

Who Should Attend

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

Prerequisites

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

03

Course Outline

Day01

Big Data Fundamentals: Foundations and Operating Context

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

Core Methods and Tools for Big Data Fundamentals

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

Applied Practice in Big Data Fundamentals

  • statistics
  • visualization
  • dashboards
  • KPIs
Day04

Performance, Risk and Control in Big Data Fundamentals

  • SQL
  • Python
  • BI
  • predictive analytics
Day05

Big Data Fundamentals: Integrated Workshop and Implementation

  • data governance
  • privacy
  • storytelling
  • decision support
04

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