Tableau Explorer: Interactive Data Analysis and Dashboard Navigation Training Course

This instructor-led, live training in the Netherlands (online or onsite) is aimed at data scientists and developers who wish to use 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.

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

This instructor-led, live training in the Netherlands (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 the Netherlands (online or on-site) is designed for beginner to intermediate data analysts who want to use Tableau Desktop to transform raw data into meaningful insights through graphical 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 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.

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

This instructor-led, live training in the Netherlands (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 the Netherlands (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 the Netherlands (online or onsite) targets beginner to intermediate-level data analysts seeking practical knowledge of Tableau Prep Builder and essential mapping functionalities in Tableau to address data preparation and visualization challenges.

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

• Connect to various data sources, including cloud-based and local files, and manage both live and extracted data connections.
• Perform data fusion and combination using advanced joining techniques to merge multiple datasets from different sources for enhanced analysis.
• Create calculated fields and execute operations to dynamically manipulate and analyze data.
• Publish and update prepared data to Tableau Server or Tableau Online, facilitating 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 the Netherlands (online or onsite) is tailored for 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 4-day course is designed for Tableau beginners. Participants will become familiar with all Tableau features and learn how to create and share data visualizations with others. The course guides you through every step, including connecting to data, creating calculations, selecting charts, building dashboards, and publishing your work.

The course is divided into lectures dedicated to each topic, followed by practical exercises. At the end of the course, there will be a 30-minute test and a 60-minute project assignment.

Course milestones:

• Familiarize yourself with the Tableau interface.
• Connect to and work with your data.
• Utilize Tableau features.
• Create insightful visualizations.
• Share your work with a broader audience.

Format of the Course:

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