Online SQL Training in Norway

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 involves applying 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 onsite) targets intermediate-level data engineers and technical leads seeking to integrate AI capabilities into SQL workflows, enabling natural language querying, intelligent optimization, and automated data analysis.

Upon completion 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.

Course Format

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

Customization Options

• To request 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 both online and onsite, targets intermediate-level participants seeking to enhance their SQL proficiency. The course focuses on complex querying techniques, data manipulation strategies, and performance optimization.

Upon completion of this training, attendees will be equipped to:

• Construct complex SQL queries utilizing advanced joins and subqueries.
• Manipulate data effectively through INSERT, UPDATE, and DELETE operations.
• Apply window functions to perform advanced data analytics.
• Optimize queries to achieve superior performance.

Course Format

• Engaging interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For organizations requiring tailored training solutions, please contact us to discuss your specific needs.

SQL serves as the standard language for accessing and managing databases.

This instructor-led live training, available either online or at your premises, is designed for beginners eager to learn how to utilize SQL for querying data and generating reports.

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

• Comprehend the architecture of relational databases.
• Compose fundamental SQL statements to extract, filter, and sort information.
• Apply aggregate functions to summarize data sets.
• Execute basic joins to connect multiple tables.

Course Format

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

Course Customization Options

• For inquiries regarding customized training for this course, please get in touch with us.

This instructor-led, live training in Norway (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 Norway (online or onsite) is intended for data scientists and developers who aim to utilize and integrate SQL, Python, and Tableau to execute 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.
• Grasp key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Refresh their knowledge of Python and SQL fundamentals.
• Execute 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 Norway (online or onsite) targets intermediate-level database administrators, developers, and analysts who aim to master advanced SQL functionalities for complex data operations and database management.

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

• Execute 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 advanced Transact SQL capabilities, including the ability to perform the following:

• Execute queries that generate 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 a Microsoft SQL Server database and wish to broaden their expertise, particularly in data analysis and optimizing query speed.

 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.

This course is designed to provide a thorough understanding of SQL usage across various database systems (such as Oracle, SQL Server, and MS Access). By mastering analytic functions and table joining techniques, participants will learn to shift data analysis tasks from MS Excel directly to the database layer. This approach not only streamlines analysis but also aids in developing IT systems that rely on relational databases.

This SQL training course is designed for individuals seeking to develop the essential skills needed to extract, analyze data from any database, and generate reports. Participants 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.

Mastering the art of writing efficient SQL queries for Microsoft SQL Server establishes the cornerstone of every enterprise data pipeline. This course explores core techniques, beginning with relational database models, and advances through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. Participants will be guided through multi-table joins, set operators, DML operations, and transaction control to reliably extract and manipulate business intelligence datasets.