Hasworkedwith SQLdatabasesKnows thedifferencebetweenstructured andunstructureddataHas useddata to solvea businessproblemHasworkedwith real-time dataHas usedPython orR foranalysisHascollaboratedacrossagencies ondataHaspresenteddata insightsto seniormanagementHas usedTableauor PowerBIHas writtena dataanalysisreportHascreated adatadictionaryHasautomateda dataprocessHas workedon a datamigrationprojectHas usedExcelpivottablesCanexplainwhat anAPI isHas built adashboardfromscratchCan explaindatagovernanceKnowswhat ETLstands forHas dealtwith dataqualityissuesCan namethree datavisualisationtoolsHas createdcharts orgraphs for apresentationHascleanedmessydatasetsHastrainedothers ondata toolsCan explainwhat a datawarehouseisKnowswhatmachinelearning isHasworkedwith SQLdatabasesKnows thedifferencebetweenstructured andunstructureddataHas useddata to solvea businessproblemHasworkedwith real-time dataHas usedPython orR foranalysisHascollaboratedacrossagencies ondataHaspresenteddata insightsto seniormanagementHas usedTableauor PowerBIHas writtena dataanalysisreportHascreated adatadictionaryHasautomateda dataprocessHas workedon a datamigrationprojectHas usedExcelpivottablesCanexplainwhat anAPI isHas built adashboardfromscratchCan explaindatagovernanceKnowswhat ETLstands forHas dealtwith dataqualityissuesCan namethree datavisualisationtoolsHas createdcharts orgraphs for apresentationHascleanedmessydatasetsHastrainedothers ondata toolsCan explainwhat a datawarehouseisKnowswhatmachinelearning 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 worked with SQL databases
  2. Knows the difference between structured and unstructured data
  3. Has used data to solve a business problem
  4. Has worked with real-time data
  5. Has used Python or R for analysis
  6. Has collaborated across agencies on data
  7. Has presented data insights to senior management
  8. Has used Tableau or Power BI
  9. Has written a data analysis report
  10. Has created a data dictionary
  11. Has automated a data process
  12. Has worked on a data migration project
  13. Has used Excel pivot tables
  14. Can explain what an API is
  15. Has built a dashboard from scratch
  16. Can explain data governance
  17. Knows what ETL stands for
  18. Has dealt with data quality issues
  19. Can name three data visualisation tools
  20. Has created charts or graphs for a presentation
  21. Has cleaned messy datasets
  22. Has trained others on data tools
  23. Can explain what a data warehouse is
  24. Knows what machine learning is