Course Code: tabbesp
Duration: 21 hours
Prerequisites:

Experience with business intelligence and data visualization.

Audience

  • Data analysts
  • Data scientists
Course Outline:

1. Working with Data

  • Connecting to various data sources
  • Different data connection types
  • Working with multiple data sources and data blending
    • Joining datasets
    • Appending datasets
    • Blending data from different data-sources

2. Visual Analytics

  • Creating basic data visualizations
  • Sorting, filtering, and organizing data
  • Using multiple measures on the same axis
  • Showing relationships between values
  • Grouping and forecasting

3. Statistics

  • Adding reference and trend lines
  • Calculating descriptive measures
  • Subtotals
  • Aggregation and disaggregation
  • Forecasting
  • Estimating distributions (histograms and box & whisker charts)

4. Calculations

  • Arithmetic calculations
  • Working with strings
  • Operations on dates and time
  • Conditional and logical expressions
  • Conditional filtering
  • Aggregate & disaggregate calculations

5. “Table calculations” for really simple estimation of

  • % of total
  • YTD figures
  • Moving average
  • Difference to prev. period
  • Pareto charts

6. Advanced charts

  • Funnel charts
  • Gantt charts
  • Control charts

7. Mapping Data

  • Geographical data mapping
  • Tableau geocoding
  • Point & filled maps
  • Advanced mapping & using background images

8. Building Interactive Dashboards

  • Quick filters
  • Actions
  • Parameters

9. Tips, Tricks, and Best Practices

  • Using parameters in calculations
  • Introduction to sets
  • Grouping field values
  • Creating hierarchies of field values
  • Organizing fields in folders

10. Publishing/Sharing dashboards

  • Publishing to Tableau online/cloud & sharing with other users