Tableau Training in Varna

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.

This instructor-led, live training in Varna (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 in Varna (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.

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

This instructor-led, live training in Varna (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.

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

This instructor-led, live training in Varna (online or onsite) is aimed at intermediate to advanced-level data architects who wish to learn skills for installing, configuring, managing, and maintaining a Tableau server.

• Have an in-depth understanding of the Tableau Server architecture.
• Understand Tableau Server processes and functions.
• User Tableau Server to automate tasks.
• Configure and manage the Tableau Server.
• Set up Tableau Server for high availability and scalability.

This instructor-led live training, located in Varna (offered online or onsite), targets data scientists and developers who wish to utilize and integrate SQL, Python, and Tableau for complex data analysis, processing, and visualization.

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

• Set up the required environment to perform data analysis with SQL, Python, and Tableau.
• Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Receive 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 program explores the principles of human perception and demonstrates how to apply them to deliver impactful insights. Participants will become familiar with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusive design practices. The curriculum clarifies the distinctions and overlaps between exploratory and explanatory analysis. Learners will gain proficiency in selecting appropriate chart types and mastering the application of design principles to visualizations built with Tableau software.

Upon completing this training, participants will be capable of:

This instructor-led, live training in Varna (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 Varna (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 Varna (online or onsite) is aimed at data analysts who wish to prepare and shape data using Tableau Prep Builder.

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

• Install Tableau Prep.
• Understand and implement a Data Science Workflow.
• Read data from a variety of sources, such as Excel and databases.
• Prepare, shape and sample data for analysis in Tableau Desktop.
• Explore and validate data.
• Create and publish Tableau Prep flows.

Tableau serves as a powerful business intelligence and data visualization platform, while Python is a versatile programming language that supports a broad range of statistical and machine learning methods. By leveraging Tableau's robust data visualization capabilities alongside Python's machine learning strengths, developers can efficiently construct sophisticated data analytics solutions tailored to diverse business needs.

Through this instructor-led live training, attendees will discover how to effectively merge Tableau and Python to perform advanced analytics. This integration is achieved through the TabPy API.

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

• Integrate Tableau and Python via the TabPy API
• Leverage the combined power of Tableau and Python to analyze intricate business scenarios using minimal Python code

Audience

• Developers
• Data scientists

Format of the course

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Designed for those new to Tableau or those needing a refresher, this course walks you through the process of creating your initial visualization from scratch. You will learn to apply key design principles to your Tableau projects and, by the end of the course, will be able to produce and share insights with a broader audience.

This instructor-led live training, delivered in Varna (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.