Hastrainedothers ondata toolsEnjoysfindingpatternsin dataHas dealtwith dataqualityissuesHascollaboratedacrossagencies ondataHaspresenteddata insightsto seniormanagementHas createdcharts orgraphs for apresentationHas workedon a datamigrationprojectHas useddata to solvea businessproblemHas built adashboardfromscratchHasworkedwith SQLdatabasesHasautomateda dataprocessHas usedPython orR foranalysisHas foundan outlierin dataHas usedTableauor PowerBICan nameone datavisualisationtoolHas writtena dataanalysisreportUses datato track apersonalgoalCan explaindatagovernanceHas usedExcelpivottablesHascleanedmessydatasetsCan explainwhat a datawarehouseisLoveslooking atdashboardsKnowswhatmachinelearning isAttendedLCF 101Hastrainedothers ondata toolsEnjoysfindingpatternsin dataHas dealtwith dataqualityissuesHascollaboratedacrossagencies ondataHaspresenteddata insightsto seniormanagementHas createdcharts orgraphs for apresentationHas workedon a datamigrationprojectHas useddata to solvea businessproblemHas built adashboardfromscratchHasworkedwith SQLdatabasesHasautomateda dataprocessHas usedPython orR foranalysisHas foundan outlierin dataHas usedTableauor PowerBICan nameone datavisualisationtoolHas writtena dataanalysisreportUses datato track apersonalgoalCan explaindatagovernanceHas usedExcelpivottablesHascleanedmessydatasetsCan explainwhat a datawarehouseisLoveslooking atdashboardsKnowswhatmachinelearning isAttendedLCF 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 trained others on data tools
  2. Enjoys finding patterns in data
  3. Has dealt with data quality issues
  4. Has collaborated across agencies on data
  5. Has presented data insights to senior management
  6. Has created charts or graphs for a presentation
  7. Has worked on a data migration project
  8. Has used data to solve a business problem
  9. Has built a dashboard from scratch
  10. Has worked with SQL databases
  11. Has automated a data process
  12. Has used Python or R for analysis
  13. Has found an outlier in data
  14. Has used Tableau or Power BI
  15. Can name one data visualisation tool
  16. Has written a data analysis report
  17. Uses data to track a personal goal
  18. Can explain data governance
  19. Has used Excel pivot tables
  20. Has cleaned messy datasets
  21. Can explain what a data warehouse is
  22. Loves looking at dashboards
  23. Knows what machine learning is
  24. Attended LCF 101