Tableau Training in Strasbourg

Tableau Explorer is a specific license tier within Tableau Cloud, designed for users who engage with dashboards, apply filters, create custom views, and collaborate with teams using published data sources.

This instructor-led training, available either online or onsite, targets beginner to intermediate business users who want to explore, filter, and interact with data using the Tableau Explorer role in Tableau Cloud.

Upon completing this training, participants will be able to:

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

Course Format

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

Customization Options

• To request a customized training session for this course, please contact us to arrange.

This instructor-led, live training session Strasbourg (online or onsite) is designed for data analysts at beginner to intermediate levels who wish to gain practical knowledge of Tableau Prep Builder and 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 wide range of data sources, including cloud-based and local files, and manage both live and extracted data connections.
• Execute data fusion and combination using advanced joining techniques to merge multiple datasets from various sources for enhanced analysis.
• Create calculated fields and perform operations to dynamically manipulate and analyze data.
• Publish and update prepared data to Tableau Server or Tableau Online, facilitating automated updates and scheduling.
• Construct basic and advanced maps using geographic data, including filled maps, density maps, and dual-axis maps.
• Apply mapping techniques to address real-world business problems by creating interactive and detailed geographic visualizations.

This instructor-led live training in Strasbourg (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 completing this training, participants will have acquired the following competencies:

This live, instructor-led training in Strasbourg (online or onsite) targets intermediate-level digital forensic and cybersecurity experts seeking to build a thorough understanding and practical proficiency in using Tableau Forensic Imager for forensic investigations.

• Grasp the significance and role of digital forensic imaging in investigations.
• Utilize Tableau Forensic Imager to acquire forensically sound images.
• Implement best practices for 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.

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

This instructor-led, live training in Strasbourg (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 in Strasbourg (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 harness it to deliver maximum insight. Participants will become acquainted with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusive design practices. The curriculum also clarifies the distinctions and overlaps between exploratory and explanatory analysis. Learners will gain expertise in selecting the most appropriate chart types for specific data needs. By the end of the training, you will understand how to effectively apply design principles to visualizations built with Tableau software.

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

This instructor-led, live training in Strasbourg (online or onsite) is designed for data scientists who want to integrate R programming with Tableau.

• Implement Tableau analytics using R.
• Return values to Tableau using learning algorithms in R.
• Structure and visualize R functions within Tableau.
• Drive business operational decisions through data insights.

This instructor-led, live training in Strasbourg (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 Strasbourg (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

Designed for learners new to Tableau or those needing a refresher, this course walks you through the essential steps to build your first visualization from scratch. You will learn how to apply key 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 Strasbourg (online or onsite) is designed 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 four-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 will guide you through every step, including connecting to data, creating calculations, choosing a chart, building the dashboard, and publishing your work.

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

Course milestones:

• Get familiar with Tableau interface.
• Connect to and work with your data.
• Use the Tableau features.
• Build an insightful visualization.
• Share your work with a broader audience.

Format of the Course also allows for the evaluation of participants.:

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.
• Knowledge test and hands-on project at the end of the course