Tableau 10 for Data Scientists (2017)

Introduction

• Welcome
• What you should know
• Exercise files
• Learning supports

1. Green and Blue Pills

• Discrete versus continuous
• Rows and columns
• Filters
• Colors
• Dates
• Pills: Challenge
• Pills: Solution

2. Connect and Extract Data

• Connect to data
• How to create a data extract
• Filter extract
• Extract: Challenge
• Extract: Solution

3. Transform Data

• Clean and prep your data
• Split fields
• Pivoting the data
• Merge data using unions
• Cross database joins
• Join transformations
• Join: Challenge
• Join: Solution

4. Analytics

• Colors to highlight data
• Visual highlighter
• The Analytics pane
• Cross-database filtering
• Analytics: Challenge
• Analytics: Solution

5. Map Your Data

• When to map your data
• Create new maps using MapBox
• Create custom territories
• Mapping: Challenge
• Mapping: Solution

6. Parameters

• Create calculations based on a parameter
• Create dynamic reference lines
• Dynamic dimension and measure selector
• Dynamic sheet selection using parameters
• Top N analysis
• Parameters: Challenge
• Parameters: Solution

7. Dashboard Design

• Dashboard layout tips
• Layout containers
• Filter actions
• Highlight actions
• URL actions
• Formats
• Tooltips
• Device-specific dashboards
• Dashboard: Challenge
• Dashboard: Solution

8. Useful Calculations

• Convert strings to dates
• Calculate time durations
• Create an initial filter from a surname

9. Tableau 10.2 Updates

• Incorporate custom geospatial data into your viz
• Convert string to dates with automatic dateparse
• Create custom joins through calculations
• Export transformed data to CSV
• Display different color legends per measure
• Change the format of fonts and lines across a workbook

Conclusion

• Next steps