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 training can be carried out locally on customer premises in Indiana or in NobleProg corporate training centers in Indiana.
NobleProg -- Your Local Training Provider
Indianapolis, IN - Lockerbie Marketplace
333 N. Alabama Street Suite 350, Indianapolis, United States, 46204
Regus at Lockerbie Marketplace is centrally located in downtown Indianapolis and easily accessible by car, with public parking available along North Alabama Street and in nearby garages. Visitors flying into Indianapolis International Airport (IND) can reach the venue in approximately 20 to 25 minutes via taxi or rideshare, following I‑70 E and exiting onto New York Street toward downtown. For public transit users, IndyGo routes serving the Massachusetts Avenue and Chatham Arch districts stop within a few blocks, making the location convenient for those traveling from other parts of the city.
Fort Wayne, IN - Regus – Power Center
110 E Wayne St floor 12, Fort Wayne, United States, 46802
The venue is conveniently located in downtown Fort Wayne, easily accessible by car via Interstate 69 through either the South Clinton Street or Apple Street exits, which lead directly into the Wayne Street corridor. Visitors will find nearby parking garages as well as metered street parking options. For those arriving by air, the venue is approximately 13 miles northeast of Fort Wayne International Airport (FWA), with a taxi or rideshare ride taking about 20 minutes via I‑69 and Jefferson Boulevard. Public transit is also available: Citilink buses serve downtown with stops just a few blocks away from the venue, near the intersection of Wayne and Clinton Streets.
Indianapolis, IN - Regus – Parkwood Crossing Center
450 E 96th St #500, Indianapolis, United States, 46240
This venue is conveniently accessed by car via the I‑465 beltway, exiting north onto Keystone Avenue before turning onto E 96th Street; ample parking is available in the adjacent surface and garage lots. For those arriving by air, the Indianapolis International Airport (IND) is approximately 17 miles away, with taxis or rideshares taking roughly 25–30 minutes via I‑465 and Keystone Avenue. Public transit is available via IndyGo routes 19 and 120, which serve the 96th Street corridor; the bus stop at Parkwood Crossing is only a short walk from the building.
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 Indiana (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 Indiana (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 instructor-led, live training in Indiana (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.
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.
SQL Database Management and Design equips practitioners with advanced techniques for building relational databases from foundational queries to schema design. Covers core principles of SQL query commands, union operations, aggregation functions, and entity relationship modeling. Examines proven methods for multi-table joins, transaction management, and ACID properties. Helps professionals normalize tables, optimize data selection, and design robust database architectures for reliable information systems.
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.
Writing efficient SQL queries against Microsoft SQL Server builds the foundation behind every enterprise data pipeline. Explores core techniques starting with relational database models, then progresses through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. Guides participants through multi-table joins, set operators, DML operations, and transaction control to extract and manipulate business intelligence datasets reliably.
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Testimonials (6)
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
Gunnar adjusted the content for the second day based on our feedback from day one. He checked in with us to find out what we liked, disliked, found hard and how we wanted to approach day 2.
I liked Gunnar's style of teaching: Lecture, share examples, allowed us time to practice and answer questions before moving to the next subject. It meant we could fully understand a topic before moving onto the next subject. This reduced overload of information and gave us a chance to spend more time on the topics we struggled with and less time on the stuff we found easy.
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