Has foundan outlierin dataHas usedExcelpivottablesHas usedPython orR foranalysisHascollaboratedacrossagencies ondataHaspresenteddata insightsto seniormanagementLoveslooking atdashboardsCan nameone datavisualisationtoolHas usedTableauor PowerBIHas dealtwith dataqualityissuesHasworkedwith SQLdatabasesHas writtena dataanalysisreportUses datato track apersonalgoalAttendedLCF 101Can explainwhat a datawarehouseisEnjoysfindingpatternsin dataHasautomateda dataprocessHas workedon a datamigrationprojectHas useddata to solvea businessproblemHas built adashboardfromscratchHas createdcharts orgraphs for apresentationHastrainedothers ondata toolsHascleanedmessydatasetsKnowswhatmachinelearning isCan explaindatagovernanceHas foundan outlierin dataHas usedExcelpivottablesHas usedPython orR foranalysisHascollaboratedacrossagencies ondataHaspresenteddata insightsto seniormanagementLoveslooking atdashboardsCan nameone datavisualisationtoolHas usedTableauor PowerBIHas dealtwith dataqualityissuesHasworkedwith SQLdatabasesHas writtena dataanalysisreportUses datato track apersonalgoalAttendedLCF 101Can explainwhat a datawarehouseisEnjoysfindingpatternsin dataHasautomateda dataprocessHas workedon a datamigrationprojectHas useddata to solvea businessproblemHas built adashboardfromscratchHas createdcharts orgraphs for apresentationHastrainedothers ondata toolsHascleanedmessydatasetsKnowswhatmachinelearning isCan explaindatagovernance

LCF 301 Bingo! - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Has found an outlier in data
  2. Has used Excel pivot tables
  3. Has used Python or R for analysis
  4. Has collaborated across agencies on data
  5. Has presented data insights to senior management
  6. Loves looking at dashboards
  7. Can name one data visualisation tool
  8. Has used Tableau or Power BI
  9. Has dealt with data quality issues
  10. Has worked with SQL databases
  11. Has written a data analysis report
  12. Uses data to track a personal goal
  13. Attended LCF 101
  14. Can explain what a data warehouse is
  15. Enjoys finding patterns in data
  16. Has automated a data process
  17. Has worked on a data migration project
  18. Has used data to solve a business problem
  19. Has built a dashboard from scratch
  20. Has created charts or graphs for a presentation
  21. Has trained others on data tools
  22. Has cleaned messy datasets
  23. Knows what machine learning is
  24. Can explain data governance