Data Visualization with Tableau Competency (Intermediate Level)

  • 25m
  • 25 questions
The Data Visualization with Tableau Competency benchmark will measure your ability to work with data, and import, visualize, and analyze data in Tableau. You will be evaluated on your ability to import data from various sources, visualize data using different kinds of charts, create views and measures, and create dashboards. A learner who scores high on this benchmark demonstrates that they have good data visualization, data analysis, and storytelling skills in Tableau.

Topics covered

  • append data from a data source or file to an existing data extract in Tableau Desktop
  • create and configure maps that show quantitative values for individual locations
  • create and use bins in Tableau Desktop
  • create box plots to depict the distribution of values and configure whiskers to display all points at the maximum extent of data
  • create calculated fields and use them in a Tableau view
  • create dynamic filters to depict data from the current week, the year to date, and the last 20 days
  • create hierarchies from fields to enable quick drill down between levels
  • create Tableau dashboards to bring visualizations together and create interactive applications
  • demonstrate and implement inner, left, and right joins using Tableau
  • demonstrate cross-database and more advanced joins
  • demonstrate how to perform total calculations to summarize data for analytics
  • demonstrates the process of creating clusters with sample data
  • describe dimensions and measures, and discrete and continuous data
  • export Tableau data to a CSV or database file
  • refresh live data sources and data extracts that are connected in Tableau Desktop
  • save a single worksheet as a Tableau Bookmark format and open the bookmark within a workbook
  • save a workbook and data extracts using the Tableau Packaged Workbook and Packaged Data Source formats
  • use aggregate functions to summarize or change the granularity of data
  • use Explain data to inspect, uncover, and evaluate marks in a visualization while building, exploring, and analyzing data
  • use Google Analytics and Tableau to analyze your web data
  • use marks and control how dimensions and measures are used in a view
  • use quick table calculations to quickly apply common table calculations to visualizations
  • use workbook views and control worksheet contents in Tableau Desktop
  • work with custom geocode data to blend geographical data and import custom geocoding
  • work with reference lines, bands of an axis, trend lines, and forecasts using the Analytics pane