Online SQL Training in Taiwan

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 applies 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. The course focuses on 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.

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

This instructor-led live training, available online or onsite, is designed for intermediate users aiming to enhance their SQL proficiency for 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 through INSERT, UPDATE, and DELETE operations.
• Applying window functions for sophisticated analytics.
• Optimizing queries to achieve superior performance.

Course Format

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

Customization Options

• To request a customized version of this course, please reach out to us to arrange it.

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:

• Grasp the structure of relational databases.
• Craft basic SQL statements to retrieve, filter, and sort data.
• Apply aggregate functions to summarize data.
• Execute 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 Taiwan (online or onsite) is designed for beginner to intermediate-level data analysts, database professionals, and software developers seeking to master SQL for effective database management.

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

• Grasp and utilize essential SQL commands and queries.
• Create and manipulate tables and databases.
• Employ SQL to sort, filter, and summarize data.
• Execute more complex operations such as joins, subqueries, and set operations.
• Apply intermediate techniques including indexes, views, stored procedures, and triggers.

This instructor-led, live training in Taiwan (online or onsite) is designed for data scientists and developers who wish to utilize 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 Taiwan (online or onsite) is designed for intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.

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

• Executing advanced querying techniques using unions, subqueries, and complex joins.
• Precisely adding, updating, and deleting data, tables, views, and indexes.
• Ensuring data integrity through transactions and manipulating database structures.
• Efficiently creating and managing databases for robust data storage and retrieval.

Participants will acquire a solid grasp of Transact-SQL's more advanced capabilities and learn to perform the following tasks:

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

This course is designed for professionals who currently use Transact-SQL to extract data from Microsoft SQL Server databases and wish to deepen their expertise, particularly in data analysis and accelerating query execution speeds.

 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 provide a comprehensive understanding of SQL usage across various database systems (such as Oracle, SQL Server, and MS Access). By mastering analytic functions and techniques for joining tables, participants will be empowered to shift data analysis operations from MS Excel directly to the database layer. Additionally, this knowledge is invaluable for developing IT systems that rely on relational databases.

This SQL training program is designed for individuals seeking to acquire 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 focuses on generic ANSI SQL. It is applicable to any database system, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and other relational databases.

Mastering the art of crafting efficient SQL queries within Microsoft SQL Server is the cornerstone of every successful enterprise data pipeline. This course delves into essential methodologies, beginning with the fundamentals of relational database models, and advances through critical techniques such as data retrieval, filtering, sorting, and aggregation. Participants will explore grouping functions and subqueries, then navigate through complex multi-table joins, set operators, DML operations, and transaction control mechanisms. By the end, learners will possess the skills to reliably extract and manipulate business intelligence datasets.