Tableau Training in Uppsala

Tableau Explorer represents a specific license tier within Tableau Cloud, tailored for users who engage with dashboards, utilize filters, generate views, and collaborate with teams through the use of published data sources.

This instructor-led, live training session (available online or onsite) is designed for beginner to intermediate business users who wish 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:

• Confidently navigate Tableau dashboards and shared workbooks.
• Apply filters, perform data drill-downs, and export data directly from dashboards.
• Create saved views and set up 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 within Tableau Cloud, supported by guided exploration.

Customization Options

• For those seeking a customized training experience for this course, please contact us to arrange a solution.

This instructor-led, live training in Uppsala (available online or on-site) is designed for beginner to intermediate data analysts seeking practical expertise in Tableau Prep Builder and core mapping functionalities within Tableau to tackle data preparation and visualization hurdles.

By the conclusion 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 Uppsala (online or onsite) is designed for beginner to intermediate 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.

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

This instructor-led, live training in Uppsala (online or onsite) is designed for intermediate-level digital forensic and cybersecurity professionals seeking a thorough understanding and practical expertise in using Tableau Forensic Imager for digital forensic investigations.

• Comprehend the significance and role of digital forensic imaging in investigative processes.
• Operate Tableau Forensic Imager to create forensically valid images.
• Implement best practices for the handling and preservation of 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.

By the conclusion of this training, participants will be equipped with the following capabilities:

This instructor-led, live training in Uppsala (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.

• Gain an in-depth understanding of the Tableau Server architecture.
• Comprehend Tableau Server processes and functions.
• Utilize 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 Uppsala (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.

This course explores human perception and demonstrates how to utilize it to generate high-quality insights. You will become acquainted with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusive design practices. Additionally, you will grasp the distinctions and similarities between exploratory and explanatory analysis. You will learn which chart types are appropriate for specific data scenarios and how to select the most effective one. By the conclusion of the course, you will be equipped to apply design principles to visualizations developed within the Tableau software.

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

This instructor-led, live training in Uppsala (online or onsite) is designed for 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 Uppsala (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 course is designed for the learner who has never used Tableau before, or who may need a refresher. It will guide you through the steps necessary to create your first visualization from the beginning. 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 the broader audience.

This instructor-led, live training in Uppsala (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 ideal for Tableau newcomers. Throughout the program, you will become proficient in all Tableau capabilities and learn how to create and share data visualizations with others. The curriculum guides you through every step, from connecting to data sources, creating calculations, selecting appropriate charts, and building dashboards, to publishing your final work.

The course structure consists of lectures focused on each specific topic, followed by practical exercises. The program concludes with a 30-minute assessment and a 60-minute project assignment.

Course milestones:

• Get accustomed to the Tableau interface.
• Connect to and manipulate your data.
• Leverage Tableau's features.
• Create insightful visualizations.
• Share your work with a wider audience.

Course Format:

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