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Course Outline
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Connecting to Data Sources for Government
- Loading data into Tableau
- Joining data tables
- Merging data from different sources
- Extracting data to Tableau format
- Executing SQL queries
- Managing data for government use
- Renaming data fields
- Creating parameters (workbook variables)
- Metadata management
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Effective Visualizations for Government
- Criteria for effective visualizations
- Selecting the appropriate chart type
- The role of color in data storytelling
- Techniques to avoid misleading audiences
- Best practices for government visualizations
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Calculations for Government Data
- Arithmetic calculations
- String manipulation techniques
- Operations on dates and time
- Array calculations
- Conditional and logical expressions
- Conditional filtering methods
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Processing Array Data for Government
- Differences between Excel and Tableau for government data
- Processing arrays in Tableau
- Writing custom SQL statements for government datasets
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Statistical Analysis for Government
- Adding reference and trend lines
- Calculating descriptive measures
- Generating subtotals
- Aggregation and disaggregation techniques
- Forecasting methods for government data
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Building Effective Dashboards for Government
- Combining multiple visualizations
- Formatting dashboards for clarity and impact
- Adding filters and actions to create interactive dashboards
- Creating aesthetically pleasing and functional dashboards
- Best practices for government dashboard creation
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Sharing Dashboards for Government
- Publishing to Tableau Reader
- Publishing to Tableau Server for government use
- Exporting dashboards to PDF format
Requirements
Recommended: Attendance at the Tableau Fundamentals Course (or Equivalent Experience)
For government professionals, it is recommended to attend the Tableau Fundamentals Course or gain equivalent experience. This foundational training ensures that participants are well-prepared to utilize data visualization tools effectively in their public sector roles, enhancing decision-making and transparency.
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.
