SQL Training in Banat

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 applies 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 on-site) targets intermediate data engineers and technical leads aiming to integrate AI capabilities into SQL workflows to enable 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 is a robust language designed for managing and analyzing structured data within relational databases.

This instructor-led live training, available either online or onsite, targets intermediate-level professionals seeking to enhance their SQL proficiency for complex queries, data manipulation, and performance optimization.

Upon completion of this course, participants will gain the ability to:

• Formulate complex SQL queries utilizing advanced joins and subqueries.
• Manage data effectively through INSERT, UPDATE, and DELETE operations.
• Apply window functions for sophisticated analytics.
• Optimize query performance for improved efficiency.

Course Format

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

Customization Options

• For customized training arrangements, please contact us directly.

SQL is the standard language for accessing and manipulating databases.

This instructor-led, live training (available online or on-site) is designed for beginners who want to learn and use SQL for data querying and reporting.

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

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

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 arrange.

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

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

• Comprehend and utilize essential SQL commands and queries.
• Create and manipulate 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 Banat (offered online or onsite) targets data scientists and developers looking to utilize and integrate SQL, Python, and Tableau for complex data analysis, processing, and visualization.

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

• Establish the necessary environment to perform data analysis using SQL, Python, and Tableau.
• Comprehend core software integration concepts such as data, servers, clients, APIs, and endpoints.
• Refresh their knowledge of Python and SQL fundamentals.
• Execute data pre-processing techniques in Python.
• Learn how to link Python and SQL for data analysis purposes.
• Create meaningful data visualizations and charts with Tableau.

This instructor-led, live training in Banat (online or on-site) 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 acquire a comprehensive understanding of advanced Transact SQL features and develop the ability to perform the following tasks:

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

This course is designed for professionals who currently utilize Transact SQL to extract data from a Microsoft SQL Server database and wish to broaden their expertise, particularly in the areas of data analysis and accelerating query execution speed.

Course Format

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

This course is designed to provide a thorough understanding of SQL usage across various databases, including Oracle, SQL Server, and MS Access. By mastering analytic functions and techniques for joining 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 utilizing relational databases.

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

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

The curriculum focuses on standard ANSI SQL, which is compatible with virtually any relational database management system, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and others.

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

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and hands-on practice.
• Practical application within a live-lab setting.

Customization Options

• To arrange customized training for this course, please get in touch with us.

Mastering the creation of efficient SQL queries for Microsoft SQL Server establishes the core foundation for every enterprise data pipeline. This course explores essential techniques, beginning with relational database models and advancing through data retrieval, filtering, sorting, and aggregation utilizing grouping functions and subqueries. It guides learners through multi-table joins, set operations, Data Manipulation Language (DML) commands, and transaction control, enabling them to reliably extract and manipulate business intelligence datasets.