Hascollaboratedacrossagencies ondataHas workedon a datamigrationprojectCan explaindatagovernanceHastrainedothers ondata toolsHasautomateda dataprocessHas dealtwith dataqualityissuesCan nameone datavisualisationtoolAttendedLCF 101Hasworkedwith SQLdatabasesHas built adashboardfromscratchHaspresenteddata insightsto seniormanagementEnjoysfindingpatternsin dataHas foundan outlierin dataHas writtena dataanalysisreportHas createdcharts orgraphs for apresentationHas usedExcelpivottablesHas usedPython orR foranalysisLoveslooking atdashboardsHas useddata to solvea businessproblemKnowswhatmachinelearning isHascleanedmessydatasetsUses datato track apersonalgoalHas usedTableauor PowerBICan explainwhat a datawarehouseisHascollaboratedacrossagencies ondataHas workedon a datamigrationprojectCan explaindatagovernanceHastrainedothers ondata toolsHasautomateda dataprocessHas dealtwith dataqualityissuesCan nameone datavisualisationtoolAttendedLCF 101Hasworkedwith SQLdatabasesHas built adashboardfromscratchHaspresenteddata insightsto seniormanagementEnjoysfindingpatternsin dataHas foundan outlierin dataHas writtena dataanalysisreportHas createdcharts orgraphs for apresentationHas usedExcelpivottablesHas usedPython orR foranalysisLoveslooking atdashboardsHas useddata to solvea businessproblemKnowswhatmachinelearning isHascleanedmessydatasetsUses datato track apersonalgoalHas usedTableauor PowerBICan explainwhat a datawarehouseis

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