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Course Outline
Connecting to Data Sources
- 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
- Creating an aesthetically pleasing dashboard
- Best practices for creating dashboards
Sharing Dashboards
- Publish to Tableau Reader
- Publish to Tableau Server
- Publish to PDF
Requirements
- A foundational understanding of basic data analysis concepts.
- Previous experience with Tableau or similar data visualization tools.
- Basic computer proficiency and familiarity with working with datasets.
Target Audience
- Data analysts.
- Business intelligence professionals.
- Individuals seeking to enhance their Tableau skills for data visualization.
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.
