SQL Training in Tashkent

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 designed for users ranging from beginner to advanced levels who aim to construct efficient SQL queries and work confidently with relational databases.

Upon completing this training, participants will be equipped with the skills to:

• Build SQL queries to retrieve, filter, and sort data.
• Manipulate data through insert, update, and delete operations.
• Create joins, subqueries, and aggregated reports.
• Apply advanced SQL techniques for real-world data analysis.

Course Format

• Instructor-led lectures integrated with guided discussions.
• Hands-on query building and practical exercises.
• Live laboratory demonstrations using real datasets.

Course Customization Options

• Should you require a tailored SQL programme for your organisation, please contact us to arrange.

AI for SQL refers to the application of artificial intelligence and large language models (LLMs) to automate, optimise, and enhance the generation, execution, and interpretation of SQL queries within enterprise data environments.

This instructor-led, live training (available online or on-site) is designed for intermediate-level data engineers and technical leads who aim to integrate AI capabilities into SQL workflows, enabling natural language querying, intelligent optimisation, 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 optimisation and error detection.
• Design secure, auditable AI-SQL workflows for enterprise use.

Course Format

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

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

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

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

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

• Construct complex SQL queries utilizing advanced joins and subqueries.
• Perform data manipulation using INSERT, UPDATE, and DELETE commands.
• Apply window functions for sophisticated analytics.
• Optimize queries to improve overall performance.

Course Format

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

Course Customization Options

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

SQL is the standard language utilized for accessing and manipulating databases.

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

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

• Comprehend the structure of relational databases.
• Write fundamental 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.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live lab environment.

Customization Options

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

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

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

• Grasp and utilize core SQL commands and queries
• Create and modify tables and databases
• Employ SQL to organize, filter, and summarize data
• Execute complex operations such as joins, subqueries, and set operations
• Apply intermediate-level techniques including indexes, views, stored procedures, and triggers

This instructor-led, live training in Tashkent (online or onsite) is designed for intermediate-level database administrators, SQL developers, and data analysts who aim to strengthen their SQL expertise by mastering the use of Analytic Functions.

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

• Grasp the concept and significance of Analytic Functions.
• Apply various Analytic Functions to tackle complex analytical challenges.
• Integrate Analytic Functions with other SQL capabilities for thorough data analysis.
• Optimize query performance effectively using Analytic Functions.

This instructor-led live training, available Tashkent (online or onsite), is designed for data scientists and developers who aim to utilize and integrate SQL, Python, and Tableau for complex data analysis, processing, and visualization.

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

• Set up the required environment for data analysis with SQL, Python, and Tableau.
• Understand key software integration concepts (data, servers, clients, APIs, endpoints, etc.).
• Refresh their knowledge on Python and SQL fundamentals.
• Execute data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Generate insightful data visualizations and charts with Tableau.

This is an instructor-led, live training course in Tashkent (onsite or remote) designed for database administrators, SQL developers, and data analysts who wish to deepen their specialized knowledge of 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 management.
• Utilize and manage user-defined data types (UDDT) and user-defined types (UDT).
• Effectively handle spatial data types, including geographic and geometric data.
• Enhance hierarchical data management, including structural elements, storage methods, and indexing strategies.
• Improve query performance using 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 acquire the essential skills needed to extract and analyze data from any database, as well as to generate reports. Participants will learn:

• how to write SQL queries
• what relational databases are and how they can be utilized
• the concept of relations and how to establish them
• data structure fundamentals
• 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 see SQL Fundamentals course.

Master the capabilities of database management through this SQL in MySQL course, which guides you through relational database concepts and the key categories of SQL commands: DQL, DML, DDL, and DCL. This program is tailored for backend developers, data analysts, database administrators, and aspiring SQL specialists aiming to excel in query formulation across all SQL areas. You will acquire practical expertise in crafting efficient queries, updating data, designing database schemas, implementing constraints, and managing transactions. Enhance your data management proficiency and establish a solid groundwork for working with the world’s leading open-source relational database.

This instructor-led, live training in Tashkent (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 develop a comprehensive understanding of advanced Transact-SQL features and acquire 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 use Transact-SQL to retrieve data from Microsoft SQL Server databases and wish to deepen their expertise, particularly in data analysis and improving query speed.

Participants will acquire a solid grasp of the core principles of Structured Query Language (SQL) and gain the ability to perform the following tasks:

• Write queries to extract and filter data from an SQL Server database
• Generate summarized data sets
• Modify, derive, and format data to meet specific output requirements
• Update data and manage database components and definitions

This course is designed for anyone who needs to retrieve information from a Microsoft SQL Server database. It is equally suitable for system developers and professionals from other disciplines who need to use SQL to extract and analyze data.

Designed for individuals with existing SQL expertise, this course reveals the fundamental principles shared across all SQL database systems, alongside the unique syntax, functions, and capabilities specific to MySQL.

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 completion of this training, participants will be able to:

• Efficiently query large datasets.
• Understand how big data systems store and retrieve data.
• Utilize the latest big data systems available.
• Transform data from various data systems into reporting tools.
• 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.
• Hands-on implementation in a live lab environment.

Course Customization Options

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

Course Format

• Interactive lectures and group discussions.
• Extensive hands-on exercises and practical sessions.
• Real-time implementation in a live-lab environment.

This course aims to provide a clear understanding of how to use SQL across various databases (Oracle, SQL Server, MS Access, etc.). By mastering analytic functions and learning how to join different tables within a database, participants will be able to shift data analysis operations to the database level instead of relying on MS Excel. This capability is also invaluable when developing any IT system that utilizes a relational database.

This SQL training program is designed for individuals seeking to acquire essential skills in extracting and analyzing data from various databases, as well as generating reports. Participants will learn:

• how to formulate SQL queries
• the concept of relational databases and how to utilize them effectively
• the nature of relationships and the methods for establishing them
• data structuring principles
• distinguishing features among SQL dialects (Oracle, T-SQL, ANSI)
• hands-on abilities for crafting queries

This SQL course focuses on generic ANSI SQL, making it applicable across various database systems, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and other relational databases.

The MOC 20764-C course on Administering a SQL Database Infrastructure equips learners with the essential skills and knowledge required to manage and maintain SQL Server databases within a SQL database environment.

The MySQL Fundamentals training course is crafted to introduce participants to the core principles of MySQL, a widely adopted relational database management system. Tailored for beginners, this program establishes a strong foundation for those aspiring to pursue careers in database management, software development, or data analysis.

By the end of the course, participants will be able to:

1. Navigate MySQL Efficiently: Gain a comprehensive understanding of the MySQL environment, including its architecture and essential components, to facilitate seamless interaction with the database system.
2. Perform Data Manipulation Tasks: Execute fundamental to intermediate data operations, such as inserting, updating, deleting, and retrieving information from MySQL databases.
3. Develop SQL Queries: Design SQL queries to extract specific data, utilizing filtering, sorting, and limiting methods to refine output results.
4. Ensure Data Integrity: Implement constraints like primary keys, foreign keys, unique constraints, and nullability rules to uphold data consistency and reliability within MySQL.
5. Handle Transactions: Manage transactions by initiating, committing, and rolling back changes to guarantee data accuracy and reliability during complex operations.
6. Leverage Data Types and Functions: Apply various data types and built-in MySQL functions to effectively handle, calculate, and transform data.
7. Apply Practical Knowledge: Utilize hands-on projects and case studies to apply theoretical concepts in real-world scenarios, enhancing understanding and problem-solving skills.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level database administrators and IT professionals who wish to optimize the performance of Oracle Database 19c.

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

• Understand Oracle Database 19c performance tuning concepts.
• Use performance management tools effectively.
• Optimize database performance through tuning techniques.
• Troubleshoot and resolve performance issues.

Designed for beginners, software developers, and database administrators who aim to learn or improve their SQL development skills, this instructor-led, live training in Tashkent (online or onsite) covers essential topics.

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 tailored for intermediate-level SQL users seeking to strengthen their basic SQL skills and systematize their acquired knowledge.

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

Course Format

• Engaging lectures paired with interactive discussions.
• Extensive exercises and practical drills.
• Real-world application within a live-lab environment.

Customization Options

• For tailored training needs, please reach out to us to arrange a customized program.

Course Objectives

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

This instructor-led, live training in Tashkent (on-site or remote) is intended for database administrators, SQL developers, 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, considering structural elements, storage methods, indexing strategies, and 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 features 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 interpret query plans, understand parameter sniffing, and handle code recompilation.
• Control SQL query execution using hints, extended events, the Database Engine Tuning Advisor, the Data Collector, and the Query Store.