SQL Basics Training Course

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

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

• Executing advanced querying techniques using unions, subqueries, and complex joins.
• Precisely adding, updating, and deleting data, tables, views, and indexes.
• Ensuring data integrity through transactions and manipulating database structures.
• Efficiently creating and managing databases 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 want to integrate AI capabilities into SQL workflows. This enables natural language querying, intelligent optimization, and automated data analysis.

By the end 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.

Course Format

• Interactive lecture and discussion.
• Plenty 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 Botswana (online or onsite) is designed for intermediate database administrators, SQL developers, and data analysts aiming to boost their SQL skills by mastering Analytic Functions.

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

• Comprehend the concept and importance of Analytic Functions.
• Apply various Analytic Functions to resolve complex analytical problems.
• Combine Analytic Functions with other SQL features for comprehensive data analysis.
• Optimize queries for enhanced 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 Botswana (online or on-site) 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 aims to provide a comprehensive understanding of SQL usage across various database platforms (such as Oracle, SQL Server, MS Access, etc.). By mastering analytic functions and techniques for joining different tables, participants will be empowered to shift data analysis operations from MS Excel to the database layer. This approach not only enhances efficiency but also supports the development of IT systems that rely on relational databases.

This instructor-led, live training in Botswana (online or on-site) targets beginner to intermediate-level data analysts, database professionals, and software developers who want to learn SQL for effective database management.

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

• Comprehend and utilize core SQL commands and queries.
• Create and modify tables and databases.
• Employ SQL to sort, filter, and summarize data.
• Execute complex operations such as joins, subqueries, and set operations.
• Apply intermediate techniques including indexes, views, stored procedures, and triggers.

This instructor-led live training, available both online and on-site, is designed for software developers, managers, and business analysts who want to leverage big data systems to store and retrieve vast amounts of information.

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

• Efficently query large datasets.
• Comprehend how big data systems store and retrieve information.
• Utilise the most up-to-date big data systems available.
• Transform data from various systems for use in reporting tools.
• Write SQL queries in:
  • MySQL
  • Postgres
  • Hive Query Language (HiveQL/HQL)
  • Redshift

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

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

This live, instructor-led training Botswana (available online or onsite) is tailored for beginners, developers, and database administrators looking to learn or strengthen their SQL development capabilities.

By the conclusion of this training, participants will be equipped to install, create, manage, manipulate, and monitor databases utilizing 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 programme is designed for individuals seeking to acquire the essential competencies required to extract, analyse, and report on data from any database. Participants will learn:

• how to formulate SQL queries
• the nature of relational databases and their practical application
• the concept of relations and how to establish them
• data structuring principles
• differences among SQL dialects (Oracle, T-SQL, ANSI)
• practical techniques for writing queries

This SQL course covers generic ANSI SQL. It is compatible with any relational database system, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and others.

SQL serves as a robust language for managing and analysing structured data within relational databases.

This instructor-led, live training session, available both online and onsite, is designed for intermediate-level users seeking to enhance their SQL capabilities for handling complex queries, data manipulation, and performance optimisation.

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

• Compose complex SQL queries utilising advanced joins and subqueries.
• Manipulate data through INSERT, UPDATE, and DELETE operations.
• Apply window functions for advanced analytics.
• Optimize queries to achieve superior performance.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Customization Options

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

Developing 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 progresses 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 Botswana (online or onsite) is intended for data scientists and developers who aim to utilize and integrate SQL, Python, and Tableau to perform advanced data analysis, processing, and visualization.

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

• Set up the necessary environment for data analysis using SQL, Python, and Tableau.
• Understand key software integration concepts (data, servers, clients, APIs, endpoints, etc.).
• Refresh their knowledge of Python and SQL fundamentals.
• Execute 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 several advanced Transact SQL capabilities while also acquiring the ability to perform the following tasks:

• Execute queries that yield complex result sets
• Administer database objects to enhance query performance
• Optimise queries for greater efficiency

This course is designed for individuals who currently utilise Transact SQL to retrieve data from a Microsoft SQL Server database and aim to broaden their expertise, particularly in data analysis and accelerating query execution speed.