Haspresenteddata insightsto seniormanagementHasworkedwith SQLdatabasesHastrainedothers ondata toolsCan explainwhat a datawarehouseisHascleanedmessydatasetsHas foundan outlierin dataHas built adashboardfromscratchHas usedPython orR foranalysisHas workedon a datamigrationprojectHas usedExcelpivottablesHas writtena dataanalysisreportLoveslooking atdashboardsHascollaboratedacrossagencies ondataHas usedTableauor PowerBICan explaindatagovernanceCan nameone datavisualisationtoolEnjoysfindingpatternsin dataHas createdcharts orgraphs for apresentationAttendedLCF 101Knowswhatmachinelearning isHas dealtwith dataqualityissuesHasautomateda dataprocessHas useddata to solvea businessproblemUses datato track apersonalgoalHaspresenteddata insightsto seniormanagementHasworkedwith SQLdatabasesHastrainedothers ondata toolsCan explainwhat a datawarehouseisHascleanedmessydatasetsHas foundan outlierin dataHas built adashboardfromscratchHas usedPython orR foranalysisHas workedon a datamigrationprojectHas usedExcelpivottablesHas writtena dataanalysisreportLoveslooking atdashboardsHascollaboratedacrossagencies ondataHas usedTableauor PowerBICan explaindatagovernanceCan nameone datavisualisationtoolEnjoysfindingpatternsin dataHas createdcharts orgraphs for apresentationAttendedLCF 101Knowswhatmachinelearning isHas dealtwith dataqualityissuesHasautomateda dataprocessHas useddata to solvea businessproblemUses datato track apersonalgoal

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