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