Online or onsite, instructor-led live SQL (Structured Query Language) training courses demonstrate through hands-on practice the necessary skills to extract and analyse data from any database and create reports, and how to build advanced queries and add, update and delete data, tables, views and indexes.
SQL training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live SQL trainings in Central can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
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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 is the application of artificial intelligence and large language models (LLMs) to automate, optimize, and enhance the way SQL queries are generated, executed, and interpreted within enterprise data environments.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data engineers and technical leads who wish 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 powerful language for managing and analyzing structured data in relational databases.
This instructor-led, live training (online or onsite) is aimed at intermediate-level users who wish to deepen their SQL skills for complex queries, data manipulation, and performance optimization.
By the end of this training, participants will be able to:
Write complex SQL queries using advanced joins and subqueries.
Manipulate data using INSERT, UPDATE, and DELETE.
Use window functions for advanced analytics.
Optimize queries for better performance.
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 standard language used for accessing and manipulating databases.
This instructor-led, live training (online or onsite) is aimed at beginner-level users who wish to understand and use SQL for data querying and reporting.
By the end of this training, participants will be able to:
Understand the structure of relational databases.
Write basic SQL statements to retrieve, filter, and sort data.
Use aggregate functions to summarize data.
Perform basic joins between multiple tables.
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.
This instructor-led, live training in Central (online or onsite) is aimed at beginner-level to intermediate-level data analysts, database professionals, and software developers who wish to learn SQL to manage databases effectively.
By the end of this training, participants will be able to:
Understand and use fundamental SQL commands and queries.
Create and manipulate tables and databases.
Use SQL to sort, filter, and summarize data.
Implement more complex operations like joins, subqueries, and set operations.
Apply intermediate techniques such as indexes, views, stored procedures, and triggers.
This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of 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 in Central (online or onsite) is aimed at data scientists and developers who wish 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 SQL training course is for people who want to gain the necessary skills to extract and analyse data using Microsoft Access. Course members will learn:
how to write SQL queries
what relational databases are and how we can use them
what are relations and how to create them
the structure of data
differences between SQL dialects (Oracle, T-SQL, ANSI)
practical skills for writing queries
This SQL course deals with Microsoft Access dialect of SQL.
This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn:
how to write SQL queries
what relational databases are and how we can use them
what are relations and how to create them
the structure of data
differences between T-SQL and other dialects
practical skills for writing queries
This SQL course deals with Microsoft T-SQL dialect. If you are interested in generic SQL, please see SQL Fundamentals course.
This instructor-led, live training in Central (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.
Delegates will gain an understanding of some of the more advanced features of Transact SQL as well as being able to do each of the following:
Use queries to return complex result sets
Manage database objects to aid query performance
Tune queries to perform more efficiently
This course is for anyone who currently uses Transact SQL to extract data from a Microsoft SQL Server database and wishes to expand their knowledge particularly in the areas of data analysis and improving query speed.
Delegates will gain an understanding of the basic principles of Structured Query Language as well as being able to do each of the following:
Construct queries to extract and filter data from an SQL Server database
Create summarised results
Change, derive and format data to suit the required output
Change data and maintain database components and definitions
This course is for anybody who needs information from a Microsoft SQL Server database. It is suitable for either system developers or people from other areas who need to use SQL to extract and analyse data.
This course has been created for people already acquainted with SQL. The course introduces you into secrets common to all SQL databases as well as MySQL specific syntax, functions and features.
In this instructor-led, live training in Central, 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 instructor-led, live training (online or onsite) is aimed at software developers, managers, and business analyst who wish to use big data systems to store and retrieve large amounts of data.
By the end of this training, participants will be able to:
Query large amounts of data efficiently.
Understand how Big Data system store and retrieve data
Use the latest big data systems available
Wrangle data from data systems into reporting systems
Learn to write SQL queries in:
MySQL
Postgres
Hive Query Language (HiveQL/HQL)
Redshift
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.
The aim of this course is to provide a clear understanding of the use of SQL for different
databases (Oracle, SQL Server, MS Access...). Understanding of analytic functions and the
way how to join different tables in a database will help delegates to move data analysis
operations to the database side, instead of doing this in MS Excel application. This can also
help in creating any IT system, which uses any relational database.
This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn:
how to write SQL queries
what relational databases are and how we can use them
what are relations and how to create them
the structure of data
differences between SQL dialects (Oracle, T-SQL, ANSI)
practical skills for writing queries
This SQL course deals with generic ANSI SQL. It can be used in any database, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL any other relational databases.
This instructor-led, live training in Central (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to enhance their skills in extracting, analyzing, and manipulating data within Microsoft Access using queries and SQL.
By the end of this training, participants will be able to:
Understand different types of queries in Microsoft Access.
Use query design tools to extract and analyze data effectively.
Write SQL queries to retrieve and manipulate data.
Perform data aggregation, filtering, and sorting using queries.
Apply advanced query techniques for troubleshooting and optimization.
This instructor-led, live training in Central (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.
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
Gunnar created a great rapport with the audience and was quick to identify our needs. He was engaging and highly knowledgeable throughout and we enjoyed his humour.
Kurt - Complete Coherence
Course - SQL For Data Science and Data Analysis
Philip was very kind, his style of explaining SQL concepts is outstanding.
I liked that he give us information and answered to questions which were not part of this course.
Stefan
Course - SQL in SQL Server
analytical functions
khusboo dassani - Tech Northwest Skillnet
Course - SQL Advanced
The training materials.
Mona Dobre - DB Global Technology
Course - SQL Advanced level for Analysts
They way the instructor teaches is very informative and effective especially on the 2nd day when topics are a bit advanced.
Aynanie Kiram - Aarki, Inc.
Course - SQL DATABASE MANAGEMENT AND DESIGN - Bespoke
Interactive exercises
Matthew Viner - Thames Water Utilites Ltd
Course - Transact SQL Basic
The course built lesson to lesson, and the pacing was a big deal for me.
Bradford Moore - Regis College
Course - SQL in MySQL
I genuinely enjoyed the lots of labs and practices.
Vivian Feng - Destination Canada
Course - Data Analysis with SQL, Python and Spotfire
The Trainer Subject Knowledge
Rares Serea - eMAG IT Research
Course - Which data storage to choose - from flat files, through SQL, NoSQL to massive distributed systems
The ability to ask questions at any time and the more informal / less structured style. This allowed us to pursue the areas of knowledge we were most interested in.
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