Data Analysis with SQL, Python, and Tableau Training Course

This instructor-led, live training in Bulgaria (available online or onsite) is designed for intermediate-level database administrators, developers, and analysts who want 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 the generation, execution, and interpretation of SQL queries within enterprise data environments.

This instructor-led, live training (available online or on-site) targets intermediate-level data engineers and technical leads seeking to integrate AI capabilities into their SQL workflows. The course enables natural language querying, intelligent optimization, and automated data analysis.

Upon completing this training, participants will be able to:

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

Format of the Course

• Interactive lecture and discussion.
• Extensive 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 Bulgaria (online or onsite) is designed for intermediate-level database administrators, SQL developers, and data analysts who wish to upgrade their SQL skills by mastering Analytic Functions.

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

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

 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 training course on MySQL Fundamentals is crafted to acquaint participants with the essential principles of MySQL, a prevalent relational database management system. Tailored for beginners, it establishes a robust foundation for those aiming to pursue careers in database administration, software engineering, or data analytics.

By the end of the course, participants will be able to:

1. Navigate MySQL Efficiently: Gain familiarity with the MySQL ecosystem, including its architecture and core elements, to interact with the database system seamlessly.
2. Perform Data Manipulation Tasks: Execute fundamental to intermediate operations for data insertion, modification, deletion, and retrieval within MySQL databases.
3. Formulate SQL Queries: Develop SQL queries to extract precise data, utilizing filtering, sorting, and limiting strategies to optimize results.
4. Ensure Data Integrity: Implement constraints such as primary keys, foreign keys, unique values, and null restrictions to preserve data accuracy and consistency across MySQL databases.
5. Handle Transactions: Manage transaction lifecycles by initiating, committing, and rolling back operations to guarantee data reliability during complex multi-step processes.
6. Leverage Data Types and Functions: Master the use of diverse data types and built-in MySQL functions to effectively process, calculate, and transform data.
7. Apply Practical Skills: Participate in practical exercises and case studies to apply theoretical knowledge in real-world contexts, enhancing problem-solving capabilities.

This course is designed to deliver a comprehensive understanding of SQL usage across various database systems, including Oracle, SQL Server, and MS Access. By mastering analytic functions and techniques for joining tables within a database, participants will learn to shift data analysis tasks from MS Excel to the database layer. This approach not only enhances analytical capabilities 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 both online and onsite, is designed for beginner-level participants who aim to comprehend and apply SQL for data querying and reporting purposes.

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

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

Course Format

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

Customization Options

• For inquiries regarding tailored training for this course, please get in touch with us to make arrangements.

Upon completing this training, participants will be capable of:

This instructor-led, live training in Bulgaria (online or onsite) is aimed at data scientists who wish to program in R for Tableau.

• Implement Tableau analytics with R.
• Return values to Tableau with learning algorithms in R.
• Structure and visualize R functions in Tableau.
• Make data driven decisions for business operations.

This instructor-led, live training in Bulgaria (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.

The Tableau Explorer license level within Tableau Cloud is tailored for users who need to engage with dashboards, apply filters, generate views, and collaborate with teams by leveraging published data sources.

This instructor-led training, available both online and onsite, is designed for beginner to intermediate business users who want to explore, filter, and interact with data using the Tableau Explorer capabilities in Tableau Cloud.

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

• Navigate Tableau dashboards and shared workbooks with confidence.
• Apply filters, drill down into details, and export data from dashboards.
• Create saved views and set up custom alerts based on data changes.
• Collaborate effectively with team members through comments, subscriptions, and shared views.

Course Format

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

Customization Options

• For customized training requests, please contact us to arrange.

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

This instructor-led, live training in Bulgaria (online or onsite) is aimed at intermediate-level digital forensic and cybersecurity professionals who wish to have 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 in Bulgaria (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize data using Tableau.

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

• Connect to your data.
• Edit and save a data source.
• Understand Tableau terminology.
• Use the Tableau interface / paradigm to effectively create powerful visualizations.
• Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
• Represent your data using different visualization types.
• Build dashboards to share visualizations.

This instructor-led, live training in Bulgaria (online or onsite) is aimed at beginner to intermediate 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, delivered in Bulgaria (either online or onsite), is designed for advanced data professionals who aim to leverage Tableau for creating complex visualizations, optimizing dashboards, and performing advanced data analysis.

By the end of the course, participants will be able to install and configure Tableau for advanced usage, create complex calculations, design interactive dashboards, and optimize system performance.

This engaging four-day course is tailored for Tableau beginners. Participants will gain comprehensive familiarity with all Tableau capabilities and learn the essential skills for creating and sharing data visualizations. The curriculum guides learners through every critical step, including connecting to data sources, developing calculations, selecting appropriate chart types, constructing dashboards, and publishing the final results.

The training is structured into thematic lectures followed by practical application exercises. The course concludes with a 30-minute knowledge test and a 60-minute project assignment.

Key learning outcomes:

• Master the Tableau interface.
• Connect to and manipulate your data effectively.
• Utilize core Tableau features.
• Create insightful data visualizations.
• Share your insights with a wider audience.

Course Format:

• Interactive lectures and discussions.
• Extensive hands-on exercises.
• Live-lab implementation activities.
• Final knowledge assessment and practical project.