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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
- Characteristics of a good visualisation
- Selecting the appropriate chart type
- The role of colour in data storytelling
- Avoiding misleading the 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
- Differences 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
- Designing aesthetically pleasing dashboards
- Best practices for dashboard creation
Sharing dashboards
- Publishing to Tableau Reader
- Publishing to Tableau Server
- Publishing to PDF
Requirements
- A grasp of basic data analysis concepts
- Experience with Tableau or comparable data visualization tools
- Basic computer skills and familiarity with dataset management
Target Audience
- Data analysts
- Business intelligence professionals
- Anyone looking to enhance 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 2600 € + 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.
