Has writtena dataanalysisreportLoveslooking atdashboardsCan explaindatagovernanceHaspresenteddata insightsto seniormanagementHas createdcharts orgraphs for apresentationAttendedLCF 101Has workedon a datamigrationprojectEnjoysfindingpatternsin dataHas foundan outlierin dataCan explainwhat a datawarehouseisHascleanedmessydatasetsHasworkedwith SQLdatabasesHas built adashboardfromscratchKnowswhatmachinelearning isHastrainedothers ondata toolsHas dealtwith dataqualityissuesCan nameone datavisualisationtoolHasautomateda dataprocessHas usedTableauor PowerBIUses datato track apersonalgoalHas useddata to solvea businessproblemHascollaboratedacrossagencies ondataHas usedExcelpivottablesHas usedPython orR foranalysisHas writtena dataanalysisreportLoveslooking atdashboardsCan explaindatagovernanceHaspresenteddata insightsto seniormanagementHas createdcharts orgraphs for apresentationAttendedLCF 101Has workedon a datamigrationprojectEnjoysfindingpatternsin dataHas foundan outlierin dataCan explainwhat a datawarehouseisHascleanedmessydatasetsHasworkedwith SQLdatabasesHas built adashboardfromscratchKnowswhatmachinelearning isHastrainedothers ondata toolsHas dealtwith dataqualityissuesCan nameone datavisualisationtoolHasautomateda dataprocessHas usedTableauor PowerBIUses datato track apersonalgoalHas useddata to solvea businessproblemHascollaboratedacrossagencies ondataHas usedExcelpivottablesHas usedPython orR foranalysis

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