Has usedPython orR foranalysisUses datato track apersonalgoalHas foundan outlierin dataHas writtena dataanalysisreportHasautomateda dataprocessHasworkedwith SQLdatabasesLoveslooking atdashboardsEnjoysfindingpatternsin dataCan explaindatagovernanceHaspresenteddata insightsto seniormanagementHas dealtwith dataqualityissuesKnowswhatmachinelearning isHas workedon a datamigrationprojectHas createdcharts orgraphs for apresentationHascollaboratedacrossagencies ondataHas usedTableauor PowerBIHas usedExcelpivottablesCan explainwhat a datawarehouseisHastrainedothers ondata toolsHas built adashboardfromscratchCan nameone datavisualisationtoolHas useddata to solvea businessproblemHascleanedmessydatasetsAttendedLCF 101Has usedPython orR foranalysisUses datato track apersonalgoalHas foundan outlierin dataHas writtena dataanalysisreportHasautomateda dataprocessHasworkedwith SQLdatabasesLoveslooking atdashboardsEnjoysfindingpatternsin dataCan explaindatagovernanceHaspresenteddata insightsto seniormanagementHas dealtwith dataqualityissuesKnowswhatmachinelearning isHas workedon a datamigrationprojectHas createdcharts orgraphs for apresentationHascollaboratedacrossagencies ondataHas usedTableauor PowerBIHas usedExcelpivottablesCan explainwhat a datawarehouseisHastrainedothers ondata toolsHas built adashboardfromscratchCan nameone datavisualisationtoolHas useddata to solvea businessproblemHascleanedmessydatasetsAttendedLCF 101

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