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Course Outline
Connecting to datasources
- Loading data into Tableau
- Combining data tables – join
- Combining data from different sources– merge
- Extracting data to Tableau format
- SQL queries
- Managing data
- Renaming data
- Creating parameters (workbook variables)
- Metadata
Effective visualisations
- What makes a good visualisation
- Choosing the right chart
- The role of colour in data storytelling
- How to avoid misleading your audience
- Best practices
Calculations
- Arithmetic calculations
- Working with strings
- Operations on dates and time
- Array calculations
- Conditional and logical expressions
- Conditional filtering
Processing Array Data
- Difference between Excel and Tableau
- Processing arrays in Tableau
- Writing custom SQL statements
Statistics
- Adding reference and trend lines
- Calculating descriptive measures
- Subtotals
- Aggregation and disaggregation
- Forecasting
Building effective dashboards
- Combining visualizations
- Formatting dashboards
- Adding filters and actions to create interactive dashboards
- Making an aesthetically pleasing dashboard
- Best practices for creating dashboards
Sharing dashboards
- Publish to Tableau Reader
- Publish to Tableau Server
- Publish to PDF
Requirements
- An understanding of basic data analysis concepts
- Experience with Tableau or similar data visualization tools
- Basic computer skills and familiarity with working with datasets
Audience
- Data analysts
- Business intelligence professionals
- Anyone who wants to deepen their Tableau skills for data visualization
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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Testimonials (1)
Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.
