Data Analysis with SQL, Python, and Tableau Training Course

This instructor-led, live training session in South Korea (available online or onsite) targets 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 refers to the application of artificial intelligence and large language models (LLMs) to automate, optimize, and improve how SQL queries are generated, executed, and interpreted in enterprise data environments.

This instructor-led, live training (available online or onsite) targets intermediate-level data engineers and technical leads who want to integrate AI capabilities into their 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 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 databases, including Oracle, SQL Server, and MS Access. By mastering analytic functions and techniques for joining multiple tables, participants will be able to shift data analysis operations from MS Excel directly to the database layer. This approach not only enhances efficiency but also supports the development of IT systems that rely on relational databases.

SQL (Structured Query Language) serves as the standard protocol for accessing and managing databases.

This instructor-led live training, available either online or on-site, is designed for beginners aiming to grasp and utilize SQL for data querying and reporting purposes.

Upon completing this training, participants will be capable of:

• Comprehending the architecture of relational databases.
• Formulating fundamental SQL statements to retrieve, filter, and organize data.
• Applying aggregate functions to summarize data sets.
• Executing basic joins across multiple tables.

Training Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Practical application in a live-lab environment.

Customization Options

• To arrange a customized training session for this course, please contact us to make the necessary arrangements.

This instructor-led, live training in South Korea (online or onsite) targets beginner to intermediate-level data analysts, database professionals, and software developers who aim to master SQL for effective database management.

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

• Comprehending and utilizing core SQL commands and queries.
• Creating and manipulating tables and databases.
• Leveraging SQL to sort, filter, and summarize data.
• Executing complex operations such as joins, subqueries, and set operations.
• Applying intermediate techniques including indexes, views, stored procedures, and triggers.

SQL serves as a standardized language for querying, manipulating, and managing data within relational database systems.

This live, instructor-led training, available both online and onsite, is designed for users ranging from beginner to advanced levels who aim to master the creation of efficient SQL queries and confidently work with relational databases.

Upon completing this training, participants will be equipped with the following skills:

• Build SQL queries to retrieve, filter, and sort data effectively.
• Perform data manipulation tasks, including insert, update, and delete operations.
• Create complex joins, subqueries, and aggregated reports.
• Utilize advanced SQL techniques for practical data analysis.

Course Format

• Interactive instructor-led lectures paired with guided discussions.
• Practical, hands-on exercises focused on query construction.
• Live lab demonstrations utilizing real-world datasets.

Customization Options

• For organizations requiring a customized SQL training program, please reach out to us to make arrangements.

Upon completing this training, participants will gain the ability to:

This instructor-led live training in South Korea (available online or onsite) is targeted at data scientists who wish to program R for Tableau.

• Integrate R-based analytics into Tableau.
• Return values to Tableau using R's machine learning algorithms.
• Organize and visualize R functions using Tableau.
• Drive business operational decisions through data analysis.

This instructor-led, live training in South Korea (online or onsite) is aimed at beginner-level to intermediate-level data analysts who wish to use Tableau Desktop to transform raw data into meaningful insights through graphical representations such as charts, graphs, maps, and tables.

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

• Connect to multiple types of data sources (Excel, CSV, databases, cloud-based) and understand the distinctions between live and extract connections.
• Prepare and clean data for analysis, including renaming fields, handling null values, and combining datasets through joins and blends.
• Create basic visualizations such as tables, bar charts, line charts, and maps, and apply filters to refine data presentations.
• Develop intermediate visualizations including geographic maps, dual-axis charts, and use hierarchies, groups, and sets to enhance analysis.
• Build calculated fields and parameters to create dynamic and customized visualizations based on user inputs and logic functions.
• Design interactive dashboards and stories, incorporating multiple visualizations and filters to tell a cohesive narrative.

Tableau Explorer represents a specific license tier within Tableau Cloud, tailored for users who engage with dashboards, apply filters, generate views, and collaborate with teams via published data sources.

This instructor-led live training, available either online or onsite, targets beginner to intermediate business users eager to explore, filter, and interact with data using the Tableau Explorer role in Tableau Cloud.

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

• Confidently navigate Tableau dashboards and shared workbooks.
• Apply filters, drill down into details, and export data directly from dashboards.
• Create saved views and establish custom alerts triggered by data changes.
• Collaborate effectively with team members through comments, subscriptions, and shared views.

Course Format

• Interactive lectures paired with live demonstrations.
• Practical exercises utilizing shared dashboards and published content.
• Real-time practice in Tableau Cloud with guided exploration.

Customization Options

• To arrange a customized version of this course, please contact us to discuss your needs.

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

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate-level digital forensic and cybersecurity professionals who wish to develop a comprehensive understanding and practical skills in using Tableau Forensic Imager for digital forensic purposes.

• Understand the role and importance of digital forensic imaging in investigations.
• Operate Tableau Forensic Imager to acquire forensically sound images.
• Apply best practices in handling and preserving digital evidence.
• Navigate the software interface to configure, execute, and manage imaging tasks.
• Analyze and validate forensic images to ensure integrity and admissibility in court.

This instructor-led live training, available in South Korea (online or onsite), targets data analysts and data scientists who aim to explore, analyze, and visualize data using Tableau.

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

• Establish connections with various data sources.
• Edit and save data sources efficiently.
• Gain a thorough understanding of key Tableau terminology.
• Navigate the Tableau interface and leverage its paradigms to create impactful visualizations.
• Develop complex calculations, including arithmetic operations, custom aggregations and ratios, date functions, and table calculations.
• Represent data effectively using a variety of visualization types.
• Construct interactive dashboards to share and present visual insights.

This instructor-led, live training in South Korea (online or onsite) is aimed at beginner-level to intermediate-level data analysts who wish to gain practical knowledge of Tableau Prep Builder and the essential mapping functionalities in Tableau to address data preparation and visualization challenges.

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

• Connect to a variety of data sources, including cloud-based and local files, and manage live and extracted data connections.
• Perform data fusion and combination using advanced joining techniques to merge multiple datasets from different sources for better analysis.
• Create calculated fields and perform operations to manipulate and analyze data dynamically.
• Publish and update prepared data to Tableau Server or Tableau Online, enabling automated updates and scheduling.
• Create basic and advanced maps with geographic data, including filled maps, density maps, and dual-axis maps.
• Apply mapping techniques to solve real-world business problems by creating interactive, detailed geographic visualizations.

This instructor-led, live training in South Korea (online or onsite) is aimed at advanced-level data professionals who wish to use Tableau to build complex visualizations, optimize dashboards, and perform advanced data analysis.

By the end of this training, participants will be able to: install and configure Tableau for advanced use, create advanced calculations, design interactive dashboards, and optimize performance.

This engaging four-day course is designed for individuals new to Tableau. Participants will become proficient in all Tableau functionalities and learn how to create and share data visualizations. The curriculum guides you through every step of the process, from connecting to data sources, creating calculations, selecting appropriate chart types, building dashboards, to publishing your final work.

The course structure consists of lectures focused on specific topics, followed by practical exercises. It concludes with a 30-minute knowledge test and a 60-minute hands-on project assignment.

Course milestones:

• Get familiar with the Tableau interface.
• Connect to and work with your data.
• Utilize Tableau's key features.
• Build insightful visualizations.
• Share your work with a broader audience.

Course format:

• Interactive lectures and discussions.
• Ample exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.
• Knowledge assessment and hands-on project at the course conclusion.