Training on Database Management with SQL
Master database management with SQL. Learn to design, create, and manage databases to store and retrieve information efficiently.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Advanced
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course provides an in-depth understanding of database management using SQL (Structured Query Language). Participants will learn how to design, implement, and manage databases efficiently. The course covers essential SQL commands, database normalization, query optimization, and data security. Through hands-on exercises and real-world examples, participants will gain practical skills to handle complex data management tasks and ensure database integrity and performance.
Course Duration
5 Days
Who Should Attend
- Database administrators
- Data analysts and data scientists
- IT professionals looking to enhance their SQL skills
- Software developers who work with databases
- Anyone interested in learning database management
What you'll walk away with
By the end of this course, participants will be able to:
- Understand the fundamentals of database management and the role of SQL in database operations.
- Design and normalize databases to improve efficiency and reduce redundancy.
- Execute complex SQL queries to retrieve, manipulate, and manage data.
- Implement best practices for database security and data integrity.
- Optimize SQL queries for improved database performance.
What we cover, module by module
Module 1: Introduction to Databases and SQL
- Fundamentals of relational databases and their architecture
- Principles of database normalization for efficient design
- SQL syntax, data types, and best practices
- Creating and managing database objects: tables, views, and indexes
- Case Study: Designing a relational database for a retail or finance scenario
- Practical Exercise: Create tables, define relationships, and implement indexes
Module 2: Data Manipulation with SQL
- Inserting, updating, and deleting records safely
- Using JOINs to integrate data from multiple tables
- Aggregating data using SQL functions: COUNT, SUM, AVG, MIN, MAX
- Subqueries and correlated subqueries for complex queries
- Case Study: Sales reporting and customer segmentation
- Practical Exercise: Write queries to generate reports and insights
Module 3: Query Optimization
- Understanding and interpreting query execution plans
- Indexing techniques to improve query performance
- Query tuning strategies for large datasets
- Monitoring and troubleshooting slow-running queries
- Case Study: Optimizing queries in a high-transaction environment
- Practical Exercise: Tune and optimize sample queries
Module 4: Advanced SQL Features
- Creating and using stored procedures and user-defined functions
- Implementing triggers for automated database actions
- Using Common Table Expressions (CTEs) for complex logic
- Window functions for advanced analytical queries
- Case Study: Automating reporting and alerts for operational data
- Practical Exercise: Develop stored procedures and implement window functions
Module 5: Database Administration
- Backup and recovery strategies to protect critical data
- Security management and user access control
- Database performance tuning techniques
- Troubleshooting common database issues and errors
- Case Study: Securing and maintaining a production database
- Practical Exercise: Configure backups, user permissions, and performance monitoring
Where the change lands
Organisational Impact
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Enhances data management efficiency, ensuring accurate and reliable databases for business operations.
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Improves data accessibility and reporting capabilities, supporting better decision-making.
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Strengthens data security and compliance through proper database design and management practices.
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Reduces errors and system downtime by implementing optimized queries and structured database architecture.
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Supports scalability and long-term maintenance of organizational databases.
Personal Impact
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Equips participants with practical skills in SQL for designing, querying, and managing databases.
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Builds expertise in database optimization, normalization, and security best practices.
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Enhances career opportunities in database administration, data analysis, and IT roles.
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Increases confidence in handling complex datasets and implementing efficient database solutions.
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Provides a foundation for further learning in advanced database technologies and data management systems.
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on Database Management with SQL in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.