SQL Training in Stockholm

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 improve how SQL queries are generated, executed, and interpreted within enterprise data environments.

This instructor-led live training (available online or onsite) targets intermediate-level data engineers and technical leads who want to incorporate AI capabilities into their SQL workflows. The goal is to facilitate natural language querying, intelligent optimization, and automated data analysis.

Upon completing this training, participants will be capable of:

• Integrating LLMs such as GPT, DeepSeek, LLaMA, Qwen, and Mistral into SQL environments.
• Developing natural-language-to-SQL pipelines for conversational data access.
• Implementing AI-driven query optimization and error detection.
• Designing secure, auditable AI-SQL workflows suitable for enterprise use.

Course Format

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

Course Customization Options

• For a customized training session, please contact us to arrange.

SQL serves as a robust language for managing and analyzing structured data within relational databases.

This instructor-led, live training session (available online or on-site) is designed for intermediate-level users looking to enhance their SQL expertise in complex querying, data manipulation, and performance optimization.

Upon completion of this training, participants will be capable of:

• Constructing complex SQL queries utilizing advanced joins and subqueries.
• Manipulating data effectively through INSERT, UPDATE, and DELETE operations.
• Employing window functions for sophisticated analytics.
• Optimizing queries to achieve superior performance.

Course Format

• Engaging lectures accompanied by discussions.
• Extensive exercises and practical application.
• Direct implementation in a live-lab environment.

Customization Options

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

SQL serves as the standard language for accessing and manipulating database systems.

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

Upon completing this training, participants will be equipped to:

• Comprehend the structure of relational databases.
• Compose basic SQL statements to retrieve, filter, and sort data.
• Utilize aggregate functions to summarize information.
• Execute basic joins across multiple tables.

Training Format

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

Customization Options for the Course

• For a customized training version of this course, please contact us to arrange.

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

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

• Understand and apply core SQL commands and queries.
• Create and manage tables and databases.
• Sort, filter, and summarize data using SQL.
• Execute complex operations such as joins, subqueries, and set operations.
• Utilize intermediate techniques including indexes, views, stored procedures, and triggers.

This instructor-led, live training in Stockholm (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 Stockholm (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 solid grasp of advanced Transact-SQL capabilities while acquiring the practical skills to perform the following tasks:

• Execute queries that generate complex result sets
• Manage database objects to enhance query performance
• Optimize queries for greater efficiency

This course is designed for individuals who currently utilize Transact-SQL to extract data from Microsoft SQL Server databases and seek to broaden their expertise, particularly in data analysis and improving 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 aims to deliver a comprehensive understanding of SQL usage across various database platforms (such as Oracle, SQL Server, and MS Access). By mastering analytic functions and the techniques for joining different database tables, participants will learn to shift data analysis operations from MS Excel to the database layer. This approach not only enhances efficiency but also supports the development of IT systems that rely on relational databases.

This SQL training programme is designed for individuals seeking to acquire the essential skills required to extract, analyse data from databases, and generate reports. Participants will learn:

• How to construct SQL queries
• The concept of relational databases and their application
• The nature of relations and how to establish them
• Data structure fundamentals
• Differences between various SQL dialects (such as Oracle, T-SQL, and ANSI)
• Practical techniques for writing effective queries

This course focuses on standard ANSI SQL, which is compatible with virtually any database system, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and other relational databases.

Mastering efficient SQL query writing for Microsoft SQL Server forms the backbone of every enterprise data pipeline. This course explores foundational techniques, beginning with relational database models and advancing through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. Participants will be guided through multi-table joins, set operators, data manipulation language (DML) operations, and transaction control to reliably extract and manipulate business intelligence datasets.