Can namethree datavisualisationtoolsHas usedTableauor PowerBIHas createdcharts orgraphs for apresentationHascollaboratedacrossagencies ondataCan explaindatagovernanceHasworkedwith SQLdatabasesHas built adashboardfromscratchKnowswhatmachinelearning isCan explainwhat a datawarehouseisHaspresenteddata insightsto seniormanagementHas usedPython orR foranalysisHas useddata to solvea businessproblemHastrainedothers ondata toolsHasautomateda dataprocessCanexplainwhat anAPI isHas usedExcelpivottablesHascreated adatadictionaryKnows thedifferencebetweenstructured andunstructureddataHasworkedwith real-time dataHas dealtwith dataqualityissuesHascleanedmessydatasetsHas writtena dataanalysisreportKnowswhat ETLstands forHas workedon a datamigrationprojectCan namethree datavisualisationtoolsHas usedTableauor PowerBIHas createdcharts orgraphs for apresentationHascollaboratedacrossagencies ondataCan explaindatagovernanceHasworkedwith SQLdatabasesHas built adashboardfromscratchKnowswhatmachinelearning isCan explainwhat a datawarehouseisHaspresenteddata insightsto seniormanagementHas usedPython orR foranalysisHas useddata to solvea businessproblemHastrainedothers ondata toolsHasautomateda dataprocessCanexplainwhat anAPI isHas usedExcelpivottablesHascreated adatadictionaryKnows thedifferencebetweenstructured andunstructureddataHasworkedwith real-time dataHas dealtwith dataqualityissuesHascleanedmessydatasetsHas writtena dataanalysisreportKnowswhat ETLstands forHas workedon a datamigrationproject

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