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Course Outline
Connecting to Data Sources
- Loading data into Tableau
- Combining data tables – joins
- Combining data from different sources – merges
- Extracting data to Tableau format
- SQL queries
- Managing data
- Renaming data
- Creating parameters (workbook variables)
- Metadata
Effective Visualisations
- What constitutes a good visualisation
- Selecting the right chart type
- 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
- 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 visualisations
- Formatting dashboards
- Adding filters and actions to create interactive dashboards
- Creating aesthetically pleasing dashboards
- Best practices for dashboard creation
Sharing Dashboards
- Publishing to Tableau Reader
- Publishing to Tableau Server
- Publishing to PDF
Requirements
- A foundational understanding of basic data analysis concepts
- Experience with Tableau or similar data visualisation tools
- Basic computer skills and familiarity with working with datasets
Audience
- Data analysts
- Business intelligence professionals
- Anyone looking to deepen their Tableau skills for data visualisation
14 Hours
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.
