Hascollaboratedacrossagencies ondataLoveslooking atdashboardsHas useddata to solvea businessproblemHas workedon a datamigrationprojectHas usedTableauor PowerBIHastrainedothers ondata toolsHas built adashboardfromscratchHasworkedwith SQLdatabasesUses datato track apersonalgoalCan nameone datavisualisationtoolHas createdcharts orgraphs for apresentationHaspresenteddata insightsto seniormanagementHascleanedmessydatasetsAttendedLCF 101Has dealtwith dataqualityissuesHas usedPython orR foranalysisHas writtena dataanalysisreportCan explaindatagovernanceEnjoysfindingpatternsin dataHas usedExcelpivottablesCan explainwhat a datawarehouseisHas foundan outlierin dataKnowswhatmachinelearning isHasautomateda dataprocessHascollaboratedacrossagencies ondataLoveslooking atdashboardsHas useddata to solvea businessproblemHas workedon a datamigrationprojectHas usedTableauor PowerBIHastrainedothers ondata toolsHas built adashboardfromscratchHasworkedwith SQLdatabasesUses datato track apersonalgoalCan nameone datavisualisationtoolHas createdcharts orgraphs for apresentationHaspresenteddata insightsto seniormanagementHascleanedmessydatasetsAttendedLCF 101Has dealtwith dataqualityissuesHas usedPython orR foranalysisHas writtena dataanalysisreportCan explaindatagovernanceEnjoysfindingpatternsin dataHas usedExcelpivottablesCan explainwhat a datawarehouseisHas foundan outlierin dataKnowswhatmachinelearning isHasautomateda dataprocess

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