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DATA-006 Data Analytics and Business Intelligence
PROGRAMME BROCHURE

SQL for Data Analysis

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

Duration 5 days
Level Professional
Programme DATA-006
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 SQL for Data Analysis. It develops practical capability in SQL Analytics 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 SQL for Data Analysis.
Apply the principal methods and tools used in SQL for Data Analysis.
Analyse realistic situations and make evidence-based decisions related to SQL for Data Analysis.
Evaluate performance, risk and control requirements in SQL for Data Analysis.
Develop a practical implementation or improvement plan for SQL for Data Analysis.

Who Should Attend

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

Prerequisites

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

Kaizen European Academy ยท Executive & Professional DevelopmentDATA-006
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Course Outline

Day01

SQL for Data Analysis: Foundations and Operating Context

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

Core Methods and Tools for SQL Analytics

  • Relational data concepts
  • SELECT and filtering
  • Sorting and limiting
  • Joins
Day03

Applied Practice in SQL for Data Analysis

  • Aggregations
  • GROUP BY
  • Subqueries
  • Common table expressions
Day04

Performance, Risk and Control in SQL for Data Analysis

  • Window functions
  • Date and text functions
  • Data cleaning with SQL
  • Analytical queries
Day05

SQL for Data Analysis: Integrated Workshop and Implementation

  • Query performance concepts
  • Indexes for analytics
  • Data validation
  • Reusable query patterns
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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

Kaizen European Academywww.kaizeneurope.academy