Tableau Training in Bologna

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 utilizing published data sources.

This instructor-led live training, available both online and on-site, targets beginner to intermediate business users eager to explore, filter, and interact with data through the Tableau Explorer interface in Tableau Cloud.

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

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

• To arrange customized training for this course, please contact us to discuss your specific needs.

This instructor-led live training in Bologna (online or on-site) is designed for beginner to intermediate data analysts who wish to acquire practical knowledge of Tableau Prep Builder and essential mapping functionalities in Tableau to tackle data preparation and visualization challenges.

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

• Connect to various 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 Bologna (online or onsite) is designed for beginner to intermediate data analysts who want to use Tableau Desktop to transform raw data into meaningful insights through visual representations like charts, graphs, maps, and tables.

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

• Connect to various data sources (Excel, CSV, databases, cloud-based) and differentiate between live and extract connections.
• Prepare and clean data for analysis, including renaming fields, handling null values, and combining datasets via joins and blends.
• Create foundational visualizations such as tables, bar charts, line charts, and maps, and apply filters to refine data presentation.
• Develop intermediate visualizations, including geographic maps and dual-axis charts, and utilize 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.

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

This instructor-led, live training in Bologna (online or onsite) is designed for intermediate-level digital forensics and cybersecurity professionals seeking both a deep theoretical understanding and practical expertise in leveraging Tableau Forensic Imager for investigative purposes.

• Comprehend the significance and role of digital forensic imaging within investigations.
• Utilize Tableau Forensic Imager to generate forensically valid disk images.
• Implement best practices for the handling and preservation of digital evidence.
• Navigate the software interface to configure, run, and oversee imaging tasks.
• Verify and analyze forensic images to guarantee integrity and legal admissibility.

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

This instructor-led, live training in Bologna (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.
• Use 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 in Bologna (available online or on-site) 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 course explores the intricacies of human perception and demonstrates how to harness it for delivering maximum insight. Participants will become acquainted with design theory, covering key areas such as Gestalt Laws, pre-attentive attributes, and inclusive design practices. Additionally, the curriculum clarifies the distinctions and overlaps between exploratory and explanatory analysis. You will learn how to select the most appropriate chart types for specific data narratives and, by the end of the course, master the application of design principles within visualizations built using Tableau software.

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

This instructor-led live training in Bologna (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 using learning algorithms in R.
• Structure and visualize R functions in Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Bologna (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 Bologna (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 is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases.

In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.

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

• Integrate Tableau and Python using TabPy API
• Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code

Audience

• Developers
• Data scientists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This course is designed for learners who have never used Tableau before or those who may need a refresher. It will guide you through the necessary steps to create your first visualization from the ground up. You will also learn how to apply essential design principles to your Tableau visualizations. By the end of the course, you will be able to create and share your insights with a broader audience.

This instructor-led, live training in Bologna (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 intensive 4-day course is designed for Tableau beginners. Participants will become proficient in all Tableau functionalities and master the art of creating and sharing data visualizations. The curriculum guides you through every essential step: connecting to data, developing calculations, selecting appropriate chart types, constructing dashboards, and publishing your final work.

The course structure combines topic-specific lectures with practical exercises. It concludes with a 30-minute knowledge assessment and a 60-minute project assignment.

Key Learning Outcomes:

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

Course Delivery Format:

• Interactive lectures and group discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live laboratory environment.
• Final knowledge test and practical project assessment.