Haspresenteddata insightsto seniormanagementCan nameone datavisualisationtoolHasautomateda dataprocessHas useddata to solvea businessproblemHascollaboratedacrossagencies ondataHascleanedmessydatasetsEnjoysfindingpatternsin dataCan explainwhat a datawarehouseisHas built adashboardfromscratchHas usedExcelpivottablesHas writtena dataanalysisreportAttendedLCF 101Uses datato track apersonalgoalKnowswhatmachinelearning isHas dealtwith dataqualityissuesHas workedon a datamigrationprojectCan explaindatagovernanceHas usedTableauor PowerBIHas createdcharts orgraphs for apresentationHasworkedwith SQLdatabasesHas usedPython orR foranalysisHastrainedothers ondata toolsHas foundan outlierin dataLoveslooking atdashboardsHaspresenteddata insightsto seniormanagementCan nameone datavisualisationtoolHasautomateda dataprocessHas useddata to solvea businessproblemHascollaboratedacrossagencies ondataHascleanedmessydatasetsEnjoysfindingpatternsin dataCan explainwhat a datawarehouseisHas built adashboardfromscratchHas usedExcelpivottablesHas writtena dataanalysisreportAttendedLCF 101Uses datato track apersonalgoalKnowswhatmachinelearning isHas dealtwith dataqualityissuesHas workedon a datamigrationprojectCan explaindatagovernanceHas usedTableauor PowerBIHas createdcharts orgraphs for apresentationHasworkedwith SQLdatabasesHas usedPython orR foranalysisHastrainedothers ondata toolsHas foundan outlierin dataLoveslooking atdashboards

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