Has usedExcelpivottablesHascreated adatadictionaryHas createdcharts orgraphs for apresentationHascollaboratedacrossagencies ondataCan namethree datavisualisationtoolsKnowswhat ETLstands forKnowswhatmachinelearning isCan explainwhat a datawarehouseisHasautomateda dataprocessHas built adashboardfromscratchHastrainedothers ondata toolsHaspresenteddata insightsto seniormanagementKnows thedifferencebetweenstructured andunstructureddataHas usedTableauor PowerBIHas usedPython orR foranalysisHas useddata to solvea businessproblemHas workedon a datamigrationprojectHas writtena dataanalysisreportHascleanedmessydatasetsCan explaindatagovernanceHasworkedwith SQLdatabasesHasworkedwith real-time dataHas dealtwith dataqualityissuesCanexplainwhat anAPI isHas usedExcelpivottablesHascreated adatadictionaryHas createdcharts orgraphs for apresentationHascollaboratedacrossagencies ondataCan namethree datavisualisationtoolsKnowswhat ETLstands forKnowswhatmachinelearning isCan explainwhat a datawarehouseisHasautomateda dataprocessHas built adashboardfromscratchHastrainedothers ondata toolsHaspresenteddata insightsto seniormanagementKnows thedifferencebetweenstructured andunstructureddataHas usedTableauor PowerBIHas usedPython orR foranalysisHas useddata to solvea businessproblemHas workedon a datamigrationprojectHas writtena dataanalysisreportHascleanedmessydatasetsCan explaindatagovernanceHasworkedwith SQLdatabasesHasworkedwith real-time dataHas dealtwith dataqualityissuesCanexplainwhat anAPI is

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 used Excel pivot tables
  2. Has created a data dictionary
  3. Has created charts or graphs for a presentation
  4. Has collaborated across agencies on data
  5. Can name three data visualisation tools
  6. Knows what ETL stands for
  7. Knows what machine learning is
  8. Can explain what a data warehouse is
  9. Has automated a data process
  10. Has built a dashboard from scratch
  11. Has trained others on data tools
  12. Has presented data insights to senior management
  13. Knows the difference between structured and unstructured data
  14. Has used Tableau or Power BI
  15. Has used Python or R for analysis
  16. Has used data to solve a business problem
  17. Has worked on a data migration project
  18. Has written a data analysis report
  19. Has cleaned messy datasets
  20. Can explain data governance
  21. Has worked with SQL databases
  22. Has worked with real-time data
  23. Has dealt with data quality issues
  24. Can explain what an API is