SQL: Basics to Intermediate Training Course

This instructor-led, live training in Nigeria (online or onsite) is designed for intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.

By the end of this training, participants will be able to:

• Perform advanced querying techniques using unions, subqueries, and complex joins.
• Add, update, and delete data, tables, views, and indexes with precision.
• Ensure data integrity through transactions and manipulate database structures.
• Create and manage databases efficiently for robust data storage and retrieval.

AI for SQL involves applying artificial intelligence and Large Language Models (LLMs) to automate, optimize, and enhance the generation, execution, and interpretation of SQL queries within enterprise data environments.

This instructor-led, live training (available online or onsite) is designed for intermediate-level data engineers and technical leads who wish to integrate AI capabilities into their SQL workflows to enable natural language querying, intelligent optimization, and automated data analysis.

Upon completion of this training, participants will be able to:

• Integrate LLMs such as GPT, DeepSeek, LLaMA, Qwen, and Mistral into SQL environments.
• Build natural-language-to-SQL pipelines for conversational data access.
• Implement AI-driven query optimization and error detection.
• Design secure, auditable AI-SQL workflows for enterprise use.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Nigeria (online or onsite) is aimed at intermediate-level database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of Analytic Functions.

By the end of this training, participants will be able to:

• Understand the concept and importance of Analytic Functions.
• Apply various Analytic Functions to solve complex analytical problems.
• Combine Analytic Functions with other SQL features for comprehensive data analysis.
• Optimize queries for better performance using Analytic Functions.

 SQL Database Management and Design equips practitioners with advanced techniques for building relational databases from foundational queries to schema design. Covers core principles of SQL query commands, union operations, aggregation functions, and entity relationship modeling. Examines proven methods for multi-table joins, transaction management, and ACID properties. Helps professionals normalize tables, optimize data selection, and design robust database architectures for reliable information systems.

This instructor-led, live training in Nigeria (online or onsite) is aimed at intermediate-level database administrators and IT professionals who wish to optimize the performance of Oracle Database 19c.

By the end of this training, participants will be able to:

• Understand Oracle Database 19c performance tuning concepts.
• Use performance management tools effectively.
• Optimize database performance through tuning techniques.
• Troubleshoot and resolve performance issues.

This course is designed to give a clear understanding of how to use SQL across various databases, such as Oracle, SQL Server, and MS Access. By mastering analytic functions and learning how to join different tables within a database, participants will be able to shift data analysis operations to the database layer rather than relying on MS Excel. This skill set also supports the development of any IT system that utilizes relational databases.

SQL serves as the standard language for accessing and manipulating databases.

This instructor-led live training, available both online and onsite, is designed for beginners looking to comprehend and utilize SQL for data querying and reporting.

Upon completing this training, participants will be equipped to:

• Grasp the structure of relational databases.
• Compose fundamental SQL statements to retrieve, filter, and sort data.
• Apply aggregate functions to summarize data.
• Execute basic joins across multiple tables.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Practical implementation within a live-lab environment.

Customization Options

• For those interested in bespoke training for this course, please reach out to us to make arrangements.

This instructor-led training, available online or onsite, is designed for software developers, managers, and business analysts who aim to leverage big data systems for storing and retrieving large volumes of information.

Upon completion of this training, participants will be capable of:

• Efficiently querying vast amounts of data.
• Understanding the mechanisms by which big data systems store and retrieve information.
• Utilizing the latest big data systems available in the market.
• Transforming data from various systems for reporting purposes.
• Writing SQL queries in the following environments:
  • MySQL
  • PostgreSQL
  • Hive Query Language (HiveQL/HQL)
  • Amazon Redshift

Course Format

• Interactive lectures and discussions.
• Ample exercises and practice opportunities.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• To arrange for customized training on this course, please contact us.

This live, instructor-led training in Nigeria (online or onsite) targets beginners, programmers, and database administrators who wish to learn or upgrade their SQL development skills and knowledge.

By the end of this training, participants will be equipped to install, create, manage, manipulate, and monitor databases using SQL and database management systems.

SQL is a standardized language used to query, manipulate, and manage data within relational database systems.

This instructor-led, live training (online or onsite) is aimed at beginner-level to advanced-level users who wish to build efficient SQL queries and work confidently with relational databases.

By the end of this training, participants will gain the skills to:

• Construct SQL queries to retrieve, filter, and sort data.
• Manipulate data using insert, update, and delete operations.
• Create joins, subqueries, and aggregated reports.
• Apply advanced SQL techniques for real-world data analysis.

Format of the Course

• Instructor-led lectures combined with guided discussions.
• Hands-on query building and practical exercises.
• Live-lab demonstrations using real datasets.

Course Customization Options

• If you require a tailored SQL program for your organization, please contact us to arrange.

This SQL training program is designed for individuals seeking to acquire the essential skills needed to extract and analyse data from any database system, as well as to generate comprehensive reports. Participants will learn:

• the techniques for writing SQL queries
• the concept of relational databases and their practical applications
• the nature of relations and how to establish them
• the fundamental structure of data
• the distinctions between various SQL dialects (such as Oracle, T-SQL, and ANSI)
• hands-on skills for developing queries

This course focuses on generic ANSI SQL, making it applicable to a wide range of database systems, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and other relational databases.

SQL is a robust language designed for managing and analyzing structured data within relational databases.

This instructor-led, live training, available online or onsite, is tailored for intermediate-level users looking to enhance their SQL capabilities for complex queries, data manipulation, and performance optimization.

Upon completion of this training, participants will be able to:

• Formulate complex SQL queries employing advanced joins and subqueries.
• Manipulate data using INSERT, UPDATE, and DELETE operations.
• Utilize window functions for sophisticated analytics.
• Optimize queries to achieve superior performance.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Practical implementation in a live-lab environment.

Customization Options

• To request a customized training for this course, please get in touch to make arrangements.

Writing efficient SQL queries for Microsoft SQL Server establishes the foundation for every enterprise data pipeline. This course explores core techniques, beginning with relational database models and progressing through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. It guides participants through multi-table joins, set operators, DML operations, and transaction control to reliably extract and manipulate business intelligence datasets.

This instructor-led, live training in Nigeria (online or onsite) is designed for data scientists and developers who wish to utilize and integrate SQL, Python, and Tableau for complex data analysis, processing, and visualization.

By the end of this training, participants will be able to:

• Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
• Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Get a refresher on the fundamentals of Python and SQL.
• Perform data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Create insightful data visualizations and charts with Tableau.

Participants will develop a solid grasp of advanced Transact SQL capabilities while mastering the following key areas:

• Execute queries to generate complex result sets
• Administer database objects to optimise query performance
• Refine queries for enhanced efficiency

This course is ideal for professionals who currently utilise Transact SQL to retrieve data from Microsoft SQL Server databases and aim to broaden their expertise, with a particular focus on data analysis and accelerating query execution speeds.