01 · Who Should Attend
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.
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SQL for Data Analysis
An applied five-day programme focused specifically on SQL for Data Analysis.
Programme at a glance
ReferenceDATA-006
Duration5 days
LevelProfessional
Learning topics20
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.
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.
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 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.
04 · Prerequisites
Prerequisites
No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.
Day
01
Module 1
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
Day
02
Module 2
Core Methods and Tools for SQL Analytics
Relational data concepts
SELECT and filtering
Sorting and limiting
Joins
Day
03
Module 3
Applied Practice in SQL for Data Analysis
Aggregations
GROUP BY
Subqueries
Common table expressions
Day
04
Module 4
Performance, Risk and Control in SQL for Data Analysis
Window functions
Date and text functions
Data cleaning with SQL
Analytical queries
Day
05
Module 5
SQL for Data Analysis: Integrated Workshop and Implementation
Query performance concepts
Indexes for analytics
Data validation
Reusable query patterns
Live learning calendar
Request a private session →Upcoming dates for this programme
Choose one of the next planned European dates, or create a private delivery around your own schedule.
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European training destinations
This programme can be scheduled across our European training destinations. Venue and trainer are confirmed separately for each session.
39cities
20countries
Final venue, dates and trainer are confirmed when the session is scheduled.
KAIZEN EUROPEAN ACADEMY