Data Analysis with SQL, Python and Spotfire Training Course

This instructor-led, live training in Sweden (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.

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.

This guided, live training in Sweden (online or onsite) is designed for intermediate database administrators, SQL developers, and data analysts aiming to refine their SQL skills by mastering Analytic Functions.

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

• Grasp the concept and importance of Analytic Functions.
• Apply various Analytic Functions to resolve complex analytical problems.
• Combine Analytic Functions with other SQL features for comprehensive data analysis.
• Optimize queries for improved performance using Analytic Functions.

Course Format

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

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.

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 Sweden (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 Sweden (online or on-site) is designed for 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.

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.

This SQL training program is designed for individuals seeking to acquire the essential skills to extract and analyze data from various databases and generate reports. Participants will learn:

• how to craft SQL queries
• the concept of relational databases and their application
• the nature of relations and how to establish them
• data structures
• differences among SQL dialects (Oracle, T-SQL, ANSI)
• practical techniques for query writing

This course focuses on standard ANSI SQL. It is applicable to any database system, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and other relational databases.

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.

This SQL training course is designed for individuals seeking to acquire the essential skills required to extract and analyse data using Microsoft Access. Participants will learn:

• how to write SQL queries
• what relational databases are and how they can be utilised
• what relationships are 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 course addresses the following key questions

• How do you construct a query?
• What capabilities does SQL offer?
• What defines a relational database?
• What constitutes the structure and SQL commands?

• How to construct a query?
• What is a relational database?
• What is the structure and SQL commands?

Designed for individuals with existing SQL expertise, this course reveals universal SQL concepts alongside MySQL-specific syntax, functions, and features.