Has usedTableauor PowerBIHas built adashboardfromscratchHastrainedothers ondata toolsHas useddata to solvea businessproblemHasworkedwith SQLdatabasesHas dealtwith dataqualityissuesHas createdcharts orgraphs for apresentationHascollaboratedacrossagencies ondataCanexplainwhat anAPI isKnowswhatmachinelearning isHasworkedwith real-time dataCan explaindatagovernanceHas usedExcelpivottablesKnowswhat ETLstands forHas usedPython orR foranalysisHascleanedmessydatasetsHasautomateda dataprocessHascreated adatadictionaryCan namethree datavisualisationtoolsKnows thedifferencebetweenstructured andunstructureddataHas workedon a datamigrationprojectHaspresenteddata insightsto seniormanagementHas writtena dataanalysisreportCan explainwhat a datawarehouseisHas usedTableauor PowerBIHas built adashboardfromscratchHastrainedothers ondata toolsHas useddata to solvea businessproblemHasworkedwith SQLdatabasesHas dealtwith dataqualityissuesHas createdcharts orgraphs for apresentationHascollaboratedacrossagencies ondataCanexplainwhat anAPI isKnowswhatmachinelearning isHasworkedwith real-time dataCan explaindatagovernanceHas usedExcelpivottablesKnowswhat ETLstands forHas usedPython orR foranalysisHascleanedmessydatasetsHasautomateda dataprocessHascreated adatadictionaryCan namethree datavisualisationtoolsKnows thedifferencebetweenstructured andunstructureddataHas workedon a datamigrationprojectHaspresenteddata insightsto seniormanagementHas writtena dataanalysisreportCan explainwhat a datawarehouseis

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