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Tableau Fundamentals
Understanding data leads to better decisions. Tableau transforms complex information into clear, actionable visuals – ready to use in everyday business without lengthy onboarding.
Key topics
- Getting to know Tableau as a tool for data visualization and analysis.
- Building and customizing dashboards and key performance indicators.
- Evaluating and presenting large datasets clearly and efficiently.
- Designing visual representations according to established quality standards.
- Understanding the role of analytics within modern AI and data strategies.
Prerequisite
Anyone familiar with spreadsheets or basic evaluations can get started right away. Technical background is a plus but not a prerequisite.
Target group
Those who work with numbers and reports daily – in controlling, BI, analysis, and management – will benefit directly from the skills taught.
A solid introduction to Tableau strengthens analytical skills and lays the groundwork for a modern, data-driven way of working – including in AI and automation contexts.
Course content
Tableau at a glance
- Understanding and contextualizing Tableau
- System setup and first steps
Connecting and loading data
- Linking and selecting data sources
- Importing CSV files into Tableau
- Building the data model
- Navigation and basic use of Tableau
Processing and structuring data
- Grouping and aggregating data
- Creating fields and defining structures
- Setting time references and date ranges
- Identifying and evaluating trend patterns
Working with key figures and dimensions
- Distinguishing between measures and dimensions
- Combining different analytical perspectives
- Analyzing overlapping key metrics
Building visual representations
- Creating scatter plots and 3D views
- Visualizing correlations and relationships
- Using geodata and map layers
- Building dynamic map views
- Selecting the right chart types
- Defining custom input fields
- Adjusting and filtering data
- Pie charts, heat maps, and other visualization types
Calculations and evaluations
- Creating basic calculations
- Using advanced calculation formulas
- Inserting and configuring reference lines
- Analyzing and interpreting results
Collaboration and data sharing
- Exporting data and reports
- Sharing visualizations with the team
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
What does Tableau Fundamentals stand for?
- Tableau Fundamentals builds the foundation for working with data: creating visualizations, uncovering relationships, and communicating results in an accessible way.
Who benefits from Tableau Fundamentals?
- Professionals who regularly work with reports, metrics, or analyses – in marketing, controlling, IT, or management – will find a fast, structured entry point.
Are prerequisites required for Tableau Fundamentals?
- Confident computer use is all that’s needed to get started. Prior analytical experience is an advantage but not a requirement.
What will participants learn in Tableau Fundamentals?
- The training covers working with data sources, building charts and dashboards, and using Tableau’s filter and analysis functions effectively.
How does Tableau support a company’s data strategy?
- Interactive dashboards and visual evaluations accelerate decision-making and make complex relationships transparent for all stakeholders.
Which data sources does Tableau work with?
- Tableau connects to a wide range of sources – from Excel and CSV files to relational databases, cloud platforms, and web services.
What role does Tableau play in modern BI concepts?
- Tableau is one of the leading BI tools: it makes data accessible, speeds up analysis, and supports a data-driven decision culture within organizations.
