Has dealtwith dataqualityissuesUses datato track apersonalgoalHas useddata to solvea businessproblemHasautomateda dataprocessHas foundan outlierin dataHasworkedwith SQLdatabasesCan explainwhat a datawarehouseisHas writtena dataanalysisreportCan nameone datavisualisationtoolHastrainedothers ondata toolsHas built adashboardfromscratchHascollaboratedacrossagencies ondataLoveslooking atdashboardsHas createdcharts orgraphs for apresentationHaspresenteddata insightsto seniormanagementCan explaindatagovernanceKnowswhatmachinelearning isHascleanedmessydatasetsHas usedPython orR foranalysisEnjoysfindingpatternsin dataHas workedon a datamigrationprojectAttendedLCF 101Has usedTableauor PowerBIHas usedExcelpivottablesHas dealtwith dataqualityissuesUses datato track apersonalgoalHas useddata to solvea businessproblemHasautomateda dataprocessHas foundan outlierin dataHasworkedwith SQLdatabasesCan explainwhat a datawarehouseisHas writtena dataanalysisreportCan nameone datavisualisationtoolHastrainedothers ondata toolsHas built adashboardfromscratchHascollaboratedacrossagencies ondataLoveslooking atdashboardsHas createdcharts orgraphs for apresentationHaspresenteddata insightsto seniormanagementCan explaindatagovernanceKnowswhatmachinelearning isHascleanedmessydatasetsHas usedPython orR foranalysisEnjoysfindingpatternsin dataHas workedon a datamigrationprojectAttendedLCF 101Has usedTableauor PowerBIHas usedExcelpivottables

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