Whether conducted online or onsite, instructor-led live SQL (Structured Query Language) training courses provide hands-on practice to equip participants with the essential skills for extracting and analyzing data from any database, generating reports, and constructing advanced queries. The curriculum also covers how to add, update, and delete data, as well as manage tables, views, and indexes.
SQL training is offered in two formats: "online live training" and "onsite live training." Online live training (also known as "remote live training") is delivered through an interactive remote desktop session. Onsite live training can be held locally at the customer’s premises in Plovdiv or at NobleProg’s corporate training centers in Plovdiv.
NobleProg -- Your Local Training Provider
Business Center Plovdiv
Han Kubrat St 1, Plovdiv, Bulgaria, 4017
This is the most modern business center in the city, with all the necessary functionalities, while being located in a green part of the city.
It is about 20 minutes by bus from the main train station as well as the city center.
SQL serves as a standardized language for querying, manipulating, and managing data within relational database systems.
This instructor-led, live training, available either online or onsite, is designed for users ranging from beginner to advanced levels who aim to construct efficient SQL queries and interact confidently with relational databases.
Upon completion of this training, participants will acquire the following skills:
Formulate SQL queries to retrieve, filter, and organize data.
Modify data through insert, update, and delete operations.
Develop joins, subqueries, and aggregated reports.
Implement advanced SQL techniques for practical data analysis.
Course Format
Instructor-led lectures paired with guided discussions.
AI for SQL involves applying artificial intelligence and large language models (LLMs) to automate, optimize, and improve the generation, execution, and interpretation of SQL queries within enterprise data environments.
This instructor-led, live training (available online or on-site) targets intermediate-level data engineers and technical leads seeking to integrate AI capabilities into their SQL workflows. The course enables natural language querying, intelligent optimization, and automated data analysis.
Upon completing 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 suitable for enterprise use.
Format of the Course
Interactive lecture and discussion.
Extensive 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 databases.
This instructor-led live training, available both online and onsite, is designed for intermediate-level professionals looking to enhance their SQL capabilities. The course focuses on mastering complex queries, data manipulation techniques, and performance optimization strategies.
Upon completion of this training, participants will be equipped to:
Construct complex SQL queries utilizing advanced joins and subqueries.
Effectively manipulate data through the use of INSERT, UPDATE, and DELETE operations.
Leverage window functions for sophisticated analytics.
Optimize queries to achieve superior performance.
Course Format
Interactive lectures paired with group discussions.
Extensive exercises and hands-on practice.
Practical implementation within a live-lab environment.
Customization Options
To arrange a customized training session for this course, please reach out to us.
SQL serves as the standard language for accessing and manipulating database systems.
This instructor-led live training, available both online and onsite, is designed for beginner-level participants who aim to comprehend and apply SQL for data querying and reporting purposes.
Upon completion of this training, attendees will be capable of:
Comprehending the architecture of relational databases.
Crafting fundamental SQL statements to retrieve, filter, and organize data.
Employing aggregate functions to summarize information.
Executing basic joins across multiple tables.
Course Format
Interactive lectures and discussions.
Ample exercises and practical practice.
Hands-on implementation within a live laboratory environment.
Customization Options
For inquiries regarding tailored training for this course, please get in touch with us to make arrangements.
This instructor-led, live training in Plovdiv (online or onsite) is designed for beginner to intermediate-level data analysts, database professionals, and software developers aiming to master SQL for effective database management.
Upon completion of this training, participants will be able to:
Understand and utilize core SQL commands and queries.
Create and manipulate tables and databases.
Employ SQL to sort, filter, and summarize data.
Execute 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 Plovdiv (online or onsite) is designed for intermediate-level database administrators, SQL developers, and data analysts who wish to upgrade their SQL skills by mastering Analytic Functions.
By the end of this training, participants will be able to:
Understand 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, located in Plovdiv (offered online or onsite), targets data scientists and developers who wish 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:
Set up the required environment to perform data analysis with SQL, Python, and Tableau.
Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
Receive 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 SQL training program is designed for individuals seeking to develop the essential skills needed to extract and analyze data using Microsoft Access. Participants will learn:
how to construct SQL queries
the concept of relational databases and how to utilize them
the nature of relations and how to establish them
the structure of data
differences between SQL dialects (Oracle, T-SQL, ANSI)
practical skills for writing queries
This SQL course focuses on the Microsoft Access dialect of SQL.
This SQL training course 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
what relations are and how to create them
the structure of data
differences between T-SQL and other 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 the SQL Fundamentals course.
This instructor-led, live training in Plovdiv (available online or onsite) is designed for intermediate-level database administrators, developers, and analysts who want 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 grasp of several advanced Transact SQL features and acquire the ability to perform the following tasks:
Execute queries that return complex result sets
Manage database objects to enhance query performance
Otimize queries for greater efficiency
This course is designed for professionals who currently use Transact SQL to extract data from Microsoft SQL Server databases and wish to deepen their expertise, particularly in data analysis and improving query speed.
Participants will develop a solid grasp of the fundamental principles of Structured Query Language, along with the ability to perform the following tasks:
Formulate queries to retrieve and filter data from an SQL Server database
Generate summarized results
Transform, derive, and format data to meet specific output requirements
Modify data and manage database components and definitions
This course is designed for anyone who requires information from a Microsoft SQL Server database. It is appropriate for system developers as well as professionals from other disciplines who need to use SQL to extract and analyze data.
Designed for individuals who already possess foundational SQL skills, this course delves into universal SQL database principles alongside MySQL-specific syntax, functions, and capabilities.
In this instructor-led, live training in Plovdiv, participants will master three distinct methods for accessing, analyzing, and visualizing data. The course begins with an introduction to RDBMS databases, focusing on accessing and querying an Oracle database using SQL. Next, we explore strategies for programmatically accessing an RDBMS database using Python. Finally, we examine how to visually present data using TIBCO Spotfire.
Course Format Interactive lectures and discussions. Extensive exercises and practice sessions. Hands-on implementation in a live-lab environment.
This course is designed to deliver a comprehensive understanding of SQL usage across various database systems, 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 tasks from MS Excel to the database layer. This approach not only enhances analytical capabilities but also supports the development of IT systems that rely on relational databases.
This SQL training program is designed for individuals aiming to acquire the essential skills to extract, analyze, and report on data from any database. Participants will learn:
techniques for writing SQL queries
the concept of relational databases and their utilization
the nature of relationships and how to establish them
data structure fundamentals
distinctions among SQL dialects (Oracle, T-SQL, ANSI)
hands-on skills for effective query composition
The course focuses on generic ANSI SQL, which is compatible with various database systems, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and other relational databases.
This training course on MySQL Fundamentals is crafted to acquaint participants with the essential principles of MySQL, a prevalent relational database management system. Tailored for beginners, it establishes a robust foundation for those aiming to pursue careers in database administration, software engineering, or data analytics.
By the end of the course, participants will be able to:
Navigate MySQL Efficiently: Gain familiarity with the MySQL ecosystem, including its architecture and core elements, to interact with the database system seamlessly.
Perform Data Manipulation Tasks: Execute fundamental to intermediate operations for data insertion, modification, deletion, and retrieval within MySQL databases.
Formulate SQL Queries: Develop SQL queries to extract precise data, utilizing filtering, sorting, and limiting strategies to optimize results.
Ensure Data Integrity: Implement constraints such as primary keys, foreign keys, unique values, and null restrictions to preserve data accuracy and consistency across MySQL databases.
Handle Transactions: Manage transaction lifecycles by initiating, committing, and rolling back operations to guarantee data reliability during complex multi-step processes.
Leverage Data Types and Functions: Master the use of diverse data types and built-in MySQL functions to effectively process, calculate, and transform data.
Apply Practical Skills: Participate in practical exercises and case studies to apply theoretical knowledge in real-world contexts, enhancing problem-solving capabilities.
This instructor-led, live training in Plovdiv (online or onsite) is designed for beginners, developers, and database administrators seeking to learn or refine their SQL development capabilities.
By the conclusion of the program, participants will be capable of installing, creating, managing, manipulating, and monitoring databases using SQL and database management systems.
It was very interactive and it kept us interested.
Raluca Alexandra PUNGA
Course - SQL Fundamentals
Small group, in-person for 3 days,
Annina - Ricardo AG
Course - SQL: Basics to Intermediate
The lecture about cte
Glyssa Mae - Metropolitan Bank and Trust Company
Course - Transact SQL Advanced
I liked the pace of the training and the level of interaction. All participants were encouraged to actively partake in discussions around exercise solutions, etc.
Aaron - Computerbits
Course - SQL Advanced level for Analysts
What I liked the most, was the practical part.
Andreea - REGNOLOGY ROMANIA S.R.L.
Course - SQL Advanced
I enjoyed the balance of lectures and exercises. When I was stuck Luke was very good at helping me to understand the problem and work towards solutions which made a really positive impact on my understanding.
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