SQL Training in Belgrade

SQL serves as a standardized language for querying, manipulating, and managing data within relational database systems.

This instructor-led, live training (available online or onsite) is designed for users ranging from beginners to advanced practitioners who aim to build efficient SQL queries and work confidently with relational databases.

Upon completing this training, participants will acquire the following skills:

• Crafting SQL queries to retrieve, filter, and sort data.
• Manipulating data through insert, update, and delete operations.
• Creating joins, subqueries, and aggregated reports.
• Applying advanced SQL techniques for real-world data analysis.

Course Format

• Instructor-led lectures paired with guided discussions.
• Hands-on query construction and practical exercises.
• Live-lab demonstrations utilizing real datasets.

Customization Options

• For a customized SQL program tailored to your organization, please contact us to make arrangements.

AI for SQL represents the application of artificial intelligence and large language models (LLMs) to automate, optimize, and improve how SQL queries are generated, executed, and interpreted 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 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.
• Develop 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 lectures and discussions.
• Extensive exercises and practice sessions.
• 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 potent tool for managing and analyzing structured data within relational databases.

This instructor-led live training, available either online or onsite, is designed for intermediate-level users looking to enhance their SQL capabilities in areas such as complex querying, data manipulation, and performance optimization.

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

• Construct complex SQL queries utilizing advanced joins and subqueries.
• Perform data manipulation through the use of INSERT, UPDATE, and DELETE commands.
• Apply window functions to facilitate advanced analytics.
• Optimize queries to achieve improved performance.

Course Format

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

Customization Options

• For those seeking a tailored training experience, please reach out to us to make the necessary arrangements.

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

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

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

• Comprehend the architecture 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.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request tailored training for this course, please contact us to make arrangements.

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

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

• Understand and apply fundamental SQL commands and queries.
• Create and manipulate tables and databases.
• Use SQL to sort, filter, and summarize data.
• Implement 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 Belgrade (online or onsite) is tailored for intermediate-level database administrators, SQL developers, and data analysts seeking to enhance 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 solve complex analytical problems.
• Combine Analytic Functions with other SQL features for comprehensive data analysis.
• Optimize queries for better performance using Analytic Functions.

This instructor-led live training, available online or onsite, is tailored for data scientists and developers who aim to use 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 Belgrade (onsite or remote) is designed for database administrators, SQL developers, and data analysts who wish to deepen their specialized knowledge in SQL. It covers advanced topics related to database management, optimization, and performance tuning.

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

• Optimize database performance through effective database preparation and DBO.
• Utilize and manage user-defined data types (UDDT) and user-defined types (UDT).
• Effectively handle spatial data types, including geographic data and geometry.
• Enhance hierarchical data management, including structural elements, storage methods, and indexing strategies.
• Improve query performance through advanced techniques such as data indexing, query execution plan analysis, and SQL query execution control.

This SQL training course is designed for individuals seeking to develop the essential skills required to extract and analyze data using Microsoft Access. Participants will acquire knowledge in the following areas:

• Writing SQL queries
• Understanding relational databases and their applications
• Defining relationships and establishing them effectively
• The fundamental structure of data
• Distinctions between various SQL dialects (Oracle, T-SQL, ANSI)
• Practical techniques for constructing queries

This course specifically focuses on the SQL dialect used in Microsoft Access.

This SQL training program is designed for individuals seeking to acquire the essential skills needed to extract and analyze data from various databases and generate reports. Participants will learn:

• how to write SQL queries
• what relational databases are and how to utilize them
• the concept of relations and how to establish them
• the structure of data
• the differences between T-SQL and other SQL dialects
• practical skills for writing queries

This SQL course focuses on the Microsoft T-SQL dialect. If you are interested in generic SQL, please refer to the SQL Fundamentals course.

• Strategies for constructing a query
• Definition and role of a relational database
• Structural components and essential SQL commands

This instructor-led, live training in Belgrade (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 comprehensive understanding of the more advanced capabilities of Transact SQL, along with the ability to perform the following tasks:

• Utilize queries to retrieve complex result sets
• Manage database objects to enhance query performance
• Optimize 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 expand their expertise, particularly in data analysis and improving query speed.

Participants will develop a solid grasp of the fundamental concepts of Structured Query Language (SQL) and acquire the ability to perform the following tasks:

• Formulate queries to retrieve and filter data from a SQL Server database
• Generate summarized reports
• Transform, derive, and format data to meet specific output requirements
• Modify data and manage database components and structures

This course is designed for anyone who requires access to information stored in a Microsoft SQL Server database. It is ideal for system developers as well as professionals from other disciplines who need to utilize SQL to extract and analyze data.

Designed for individuals who already possess a solid understanding of SQL, this course delves into universal SQL database principles alongside MySQL-specific syntax, functions, and features.

During this instructor-led live training Belgrade, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.

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

This live instructor-led training (onsite or remote) will guide you through the most important elements of the SQL language. A combination of comprehensively prepared training materials and the expertise of the instructor will serve as an introduction to the world of databases.

This instructor-led live training, available online or onsite, is designed for software developers, managers, and business analysts who want to leverage big data systems to store and retrieve large volumes of data.

Upon completing this training, participants will be able to:

• Efficiently query large datasets.
• Understand how big data systems store and retrieve information.
• Utilize the latest big data systems available.
• Transform data from various systems into reporting platforms.
• Write SQL queries in the following environments:
  • 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-lab environment.

Customization Options

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

Course Structure

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

This course is designed to provide a comprehensive understanding of SQL utilization across various database platforms, including Oracle, SQL Server, and MS Access. By mastering analytic functions and techniques for joining tables within a database, participants will learn to shift data analysis operations from MS Excel directly to the database layer. This approach not only streamlines analysis but also supports the development of any IT system relying on relational databases.

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

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

This SQL course focuses on generic ANSI SQL, making it applicable to any relational database system, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and others.

The Administering a SQL Database Infrastructure MOC 20764-C course provides the essential skills and knowledge required to manage and maintain SQL Server databases within a SQL database infrastructure.

This MySQL Fundamentals training program is designed to familiarize participants with the core principles of MySQL, a widely adopted relational database management system. Tailored for beginners, the course lays a robust groundwork for those pursuing interests in database administration, software engineering, or data analytics.

After completing the course, participants will be able to:

1. Effectively Navigate MySQL: Gain a comprehensive understanding of the MySQL environment, including its architecture and essential components, to interact with the database system effortlessly.
2. Execute Data Manipulation Operations: Carry out fundamental and intermediate data manipulation tasks, such as inserting, updating, deleting, and retrieving data within MySQL databases.
3. Construct SQL Queries: Develop SQL queries to extract specific data, utilizing filtering, sorting, and limiting methods to refine the results.
4. Enforce Data Integrity: Implement constraints like primary keys, foreign keys, unique constraints, and nullability rules to preserve data consistency and integrity in MySQL databases.
5. Manage Transactions: Handle transaction initiation, commitment, and rollback procedures to ensure reliable data consistency during complex, multi-step operations.
6. Utilize Data Types and Functions: Understand and apply various data types and built-in MySQL functions to effectively handle, calculate, and transform data.
7. Apply Practical Skills: Participate in practical projects and case studies to apply theoretical knowledge, enhancing problem-solving skills and conceptual understanding.

This instructor-led, live training in Belgrade (online or onsite) is aimed at beginners, programmers, and database administrators who wish to learn or improve their SQL development skills and knowledge.

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

This instructor-led, live training is designed for intermediate SQL users seeking to enhance their foundational SQL abilities and organize their existing knowledge.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced users who want to deepen their understanding of SQL.

Format of the Course

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

Course Customization Options

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

Course Objectives

• How to construct a query?
• What capabilities does SQL offer?
• What defines a relational database?
• What is the structure and syntax of SQL commands?

This instructor-led live training in Belgrade (in-person or remote) is designed for database administrators, SQL programmers, and data analysts who wish to expand their specialized knowledge in SQL tuning.

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

• Work with user-defined data types (UDDT) and user-defined types (UDT) to streamline data modeling.
• Effectively manage hierarchical data, taking into account structure elements, storage methods, strategies, and indexing techniques.
• Implement ranking and analytical functions using the OVER clause, window functions, and various operators such as GROUPING SETS, GROUPING_ID, ROLLUP, CUBE, PIVOT, and UNPIVOT.
• Utilize temporary data and other temporary utilities for efficient query processing.
• Improve query performance through advanced data indexing techniques, including index selectivity, server suggestions for missing indexes, and measuring execution time with and without indexes.
• Create and manage statistics to optimize cardinality estimation and eliminate potential errors.
• Analyze SQL query execution plans, learn to read query plans, understand parameter sniffing, and code recompilation.
• Control SQL query execution using hints, extended events, the Database Engine Tuning Advisor, the data collector module, and the Query Store.