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Data Analytics and Business Intelligence DATA-013

Big Data Fundamentals

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

Programme at a glance
ReferenceDATA-013
Duration5 days
LevelProfessional
Learning topics20
KAIZEN EUROPEAN ACADEMY

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.

What you will gain

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.

01 · Who Should Attend

Who Should Attend

Professionals, specialists, supervisors and managers whose responsibilities involve big data fundamentals 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 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.

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
01
Module 1

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

Day
02
Module 2

Core Methods and Tools for Big Data Fundamentals

data sources

data quality

data preparation

analysis

Day
03
Module 3

Applied Practice in Big Data Fundamentals

statistics

visualization

dashboards

KPIs

Day
04
Module 4

Performance, Risk and Control in Big Data Fundamentals

SQL

Python

BI

predictive analytics

Day
05
Module 5

Big Data Fundamentals: Integrated Workshop and Implementation

data governance

privacy

storytelling

decision support

KAIZEN EUROPEAN ACADEMY

What You Will Receive

01
Programme learning materials
02
Practical resources and templates where applicable
03
Kaizen completion certificate
04
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.

Request a private session →
22 Feb 2027
Data Analytics and Business Intelligence Planned

Big Data Fundamentals

Launch rate€3,650per participant
Corporate Group AdvantageSave 15% from the second participant
Paris FR 22–26 Feb 2027 5 days
Register for this session
Choose your learning destination

European training destinations

This programme can be scheduled across our European training destinations. Venue and trainer are confirmed separately for each session.

39cities
20countries
Cities with upcoming sessions

This programme already has upcoming dates in the following destinations.

1

Final venue, dates and trainer are confirmed when the session is scheduled.