SQL Training in Prague

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 refers to 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 looking to integrate AI capabilities into their SQL workflows. The course enables 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.
• Develop natural-language-to-SQL pipelines for conversational data access.
• Implement AI-driven query optimization and error detection mechanisms.
• Design secure, auditable AI-SQL workflows suitable for enterprise use.

Course Format

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

Customization Options

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

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

This instructor-led, live training—available either online or on-site—is tailored for intermediate-level professionals aiming to enhance their SQL capabilities, particularly regarding complex queries, data manipulation, and performance optimization.

Upon completing this training, participants will be capable of: 

• Constructing complex SQL queries that utilize advanced joins and subqueries. 
• Manipulating data effectively through INSERT, UPDATE, and DELETE operations. 
• Leveraging window functions for sophisticated analytics. 
• Optimizing queries to achieve superior performance.

Course Format

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

Customization Options

• To request bespoke training for this course, please reach out to us to make arrangements. 

SQL is the standard language for accessing and manipulating databases.

This instructor-led live training, available both online and onsite, is designed for beginners who want to learn how to understand and use SQL for data querying and reporting.

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

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

Training Format

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

Customization Options

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

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

Upon completion 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 more complex operations, including joins, subqueries, and set operations.
• Apply intermediate techniques such as indexes, views, stored procedures, and triggers.

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

This instructor-led, live training in Prague (online or onsite) targets 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 develop a solid understanding of advanced Transact-SQL features and acquire the skills to achieve the following objectives:

• Execute queries that retrieve complex result sets
• Manage database objects to optimize query performance
• Tune queries for enhanced efficiency

This course is designed for professionals who currently use Transact-SQL to extract data from Microsoft SQL Server databases and wish to expand their expertise, particularly in data analysis and improving query execution 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 provides a comprehensive understanding of how to use SQL across various database platforms, including 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 streamlines analysis but also supports the development of any IT system that relies on 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:

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

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

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