Uses datato track apersonalgoalCan explainwhat a datawarehouseisHas foundan outlierin dataHas usedExcelpivottablesHas built adashboardfromscratchCan explaindatagovernanceHasautomateda dataprocessHas usedPython orR foranalysisHastrainedothers ondata toolsEnjoysfindingpatternsin dataHas useddata to solvea businessproblemHas usedTableauor PowerBIHas dealtwith dataqualityissuesHascleanedmessydatasetsCan nameone datavisualisationtoolHas createdcharts orgraphs for apresentationHas workedon a datamigrationprojectHaspresenteddata insightsto seniormanagementKnowswhatmachinelearning isAttendedLCF 101Hascollaboratedacrossagencies ondataHas writtena dataanalysisreportLoveslooking atdashboardsHasworkedwith SQLdatabasesUses datato track apersonalgoalCan explainwhat a datawarehouseisHas foundan outlierin dataHas usedExcelpivottablesHas built adashboardfromscratchCan explaindatagovernanceHasautomateda dataprocessHas usedPython orR foranalysisHastrainedothers ondata toolsEnjoysfindingpatternsin dataHas useddata to solvea businessproblemHas usedTableauor PowerBIHas dealtwith dataqualityissuesHascleanedmessydatasetsCan nameone datavisualisationtoolHas createdcharts orgraphs for apresentationHas workedon a datamigrationprojectHaspresenteddata insightsto seniormanagementKnowswhatmachinelearning isAttendedLCF 101Hascollaboratedacrossagencies ondataHas writtena dataanalysisreportLoveslooking atdashboardsHasworkedwith SQLdatabases

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