SQL Training in Athens

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.

AI for SQL involves the application of 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 aim to integrate AI capabilities into SQL workflows to facilitate 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.
• Construct 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.
• Extensive 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.

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

This instructor-led, live training session, available either online or onsite, is tailored for intermediate-level professionals aiming to enhance their SQL expertise in complex querying, data manipulation, and performance optimization.

Upon completing this training, participants will be equipped to:

• Construct intricate SQL queries utilizing advanced joins and subqueries.
• Execute data manipulation through INSERT, UPDATE, and DELETE operations.
• Apply window functions for sophisticated analytics.
• Optimize queries to achieve superior performance.

Course Format

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

Customization Options

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

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

This instructor-led live training, available online or onsite, is designed for beginners who want to learn how to query data and generate reports using SQL.

Upon completing this training, participants will be able to:

• Grasp the structure of relational databases.
• Compose basic 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.
• Abundant exercises and practice opportunities.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• For a customized version of this course, please contact us to make arrangements.

This instructor-led, live training in Athens (online or onsite) is tailored for beginner to intermediate data analysts, database professionals, and software developers who aim to master SQL for effective database management.

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

• Understand and use fundamental SQL commands and queries.
• Create and manipulate tables and databases.
• Use SQL to sort, filter, and summarize data.
• Implement more complex operations like joins, subqueries, and set operations.
• Apply intermediate techniques such as indexes, views, stored procedures, and triggers.

This instructor-led live training Athens (online or onsite) targets data scientists and developers who wish to leverage and integrate SQL, Python, and Tableau for advanced data analysis, processing, and visualization.

By the conclusion 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.

This instructor-led, live training in Athens (online or onsite) is designed for database administrators, developers, and analysts at an intermediate level 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.

Participants will acquire a solid grasp of several advanced Transact-SQL features and will be able to perform the following tasks:

• Employ queries to retrieve complex result sets
• Manage database objects to enhance query performance
• Tune queries for greater efficiency

This course is designed for professionals who currently use Transact-SQL to extract data from a Microsoft SQL Server database and wish to broaden their expertise, particularly in data analysis and optimizing query speed.

 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 course is designed to provide a comprehensive understanding of SQL usage across various databases (such as Oracle, SQL Server, and MS Access). By mastering analytic functions and techniques for joining multiple tables, participants will learn to shift data analysis tasks from MS Excel directly to the database layer. This approach not only enhances efficiency but also supports the development of IT systems utilising relational databases.

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

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

This course focuses on standard ANSI SQL, which is compatible with a wide range of databases, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and other relational database systems.

Writing efficient SQL queries against Microsoft SQL Server builds the foundation behind every enterprise data pipeline. Explores core techniques starting with relational database models, then progresses through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. Guides participants through multi-table joins, set operators, DML operations, and transaction control to extract and manipulate business intelligence datasets reliably.