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Course Outline
Connecting to Data Sources
- Loading data into Tableau
- Combining data tables via joins
- Combining data from disparate sources via merges
- Extracting data to Tableau format
- Executing SQL queries
- Managing data
- Renaming data fields
- Creating parameters (workbook variables)
- Understanding metadata
Effective Visualizations
- Characteristics of a good visualization
- Selecting the appropriate chart type
- The role of color in data storytelling
- Preventing misleading interpretations
- Industry best practices
Calculations
- Arithmetic calculations
- String manipulation
- Date and time operations
- 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
- Computing subtotals
- Aggregation and disaggregation
- Forecasting
Building Effective Dashboards
- Integrating visualizations
- Formatting dashboards
- Incorporating filters and actions to create interactivity
- Creating visually appealing dashboards
- Best practices for dashboard creation
Sharing Dashboards
- Publishing to Tableau Reader
- Publishing to Tableau Server
- Publishing to PDF
Requirements
- A solid understanding of fundamental data analysis concepts
- Experience with Tableau or comparable data visualization tools
- Basic computer proficiency and familiarity with dataset management
Target Audience
- Data analysts
- Business intelligence professionals
- Individuals looking 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.
