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Course Outline
Connecting to Data Sources
- Loading data into Tableau
- Joining data tables
- Merging data from different sources
- Extracting data to Tableau format
- Executing SQL queries
- Data management
- Renaming fields
- Creating parameters (workbook variables)
- Understanding metadata
Effective Visualizations
- Characteristics of high-quality visualizations
- Selecting the appropriate chart type
- The impact of color in data storytelling
- Avoiding misleading representations
- Industry best practices
Calculations
- Arithmetic operations
- Text string manipulation
- Date and time functions
- Array calculations
- Conditional and logical expressions
- Conditional filtering
Processing Array Data
- Differences between Excel and Tableau
- Handling arrays in Tableau
- Writing custom SQL statements
Statistics
- Adding reference and trend lines
- Calculating descriptive statistics
- Computing subtotals
- Aggregation and disaggregation techniques
- Forecasting
Building Effective Dashboards
- Integrating visualizations
- Dashboards formatting
- Implementing filters and actions for interactivity
- Creating visually appealing dashboards
- Dashboard creation best practices
Sharing Dashboards
- Publishing to Tableau Reader
- Publishing to Tableau Server
- Exporting to PDF
Requirements
- Understanding of fundamental data analysis concepts
- Prior experience with Tableau or comparable data visualization tools
- Basic computer proficiency and familiarity with handling 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.