Online SQL Training in Turkey

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 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) targets intermediate-level data engineers and technical leads who aim to integrate AI capabilities into their SQL workflows to facilitate 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.

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.

SQL serves as a robust tool for managing and analyzing structured data within relational database systems.

This instructor-led, live training, available either online or on-site, is designed for intermediate-level professionals looking to enhance their SQL capabilities. The curriculum focuses on mastering complex queries, data manipulation techniques, and performance optimization strategies.

Upon completing this training, participants will be equipped to:

• Construct complex SQL queries utilizing advanced joins and subqueries.
• Perform data manipulation tasks using INSERT, UPDATE, and DELETE operations.
• Apply window functions for sophisticated data analytics.
• Optimize query performance for improved efficiency.

Course Format

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

Customization Options

• For inquiries regarding customized training for this course, please contact us to make arrangements.

SQL serves as the standard language for accessing and manipulating database systems.

This instructor-led live training, available both online and on-site, is designed for beginner-level participants who want to learn how to use SQL for querying and reporting data.

Upon completing this course, participants will be able to:

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

Course Format

• Interactive lectures and discussions.
• Ample opportunities for exercises and practice.
• Practical implementation within a live lab environment.

Customization Options

• For customized training requests, please reach out to us to coordinate.

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

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

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

This instructor-led live training in Turkey (available online or onsite) is designed 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 conclusion of this training, participants will be able to:

• Establish the necessary environment to perform data analysis with SQL, Python, and Tableau.
• Understand 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 Turkey (online or onsite) is aimed at 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.

Participants will gain a solid understanding of some of the more advanced features of Transact-SQL, as well as the ability to perform the following tasks:

• Utilize queries to generate complex result sets
• Manage database objects to enhance query performance
• Optimize queries for greater efficiency

This course is designed for anyone who currently uses Transact-SQL to extract data from a Microsoft SQL Server database and wishes to expand their knowledge, particularly in the areas of data analysis and improving 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 give participants a comprehensive understanding of using SQL across various database systems, including Oracle, SQL Server, and MS Access. By mastering analytic functions and table joining techniques, delegates will learn to perform data analysis directly within the database rather than relying on MS Excel. These skills are also essential for developing any IT system that utilizes relational databases.

This SQL training program is designed for individuals seeking to acquire the essential skills needed to extract, analyze, and report on data from any database. Participants will learn:

• the methods for writing SQL queries
• the concept of relational databases and their application
• the nature of relationships and how to establish them
• data structure fundamentals
• key differences between SQL dialects (Oracle, T-SQL, ANSI)
• practical techniques for constructing queries

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

Mastering the creation of efficient SQL queries within Microsoft SQL Server forms the backbone of every enterprise data pipeline. This course explores essential techniques, beginning with relational database models and advancing through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. Participants will be guided through multi-table joins, set operators, DML operations, and transaction control to reliably extract and manipulate business intelligence datasets.