Hastrainedothers ondata toolsHascollaboratedacrossagencies ondataHaspresenteddata insightsto seniormanagementHas usedPython orR foranalysisHasworkedwith real-time dataCan explaindatagovernanceHascleanedmessydatasetsKnowswhatmachinelearning isHas usedExcelpivottablesHas createdcharts orgraphs for apresentationHascreated adatadictionaryCanexplainwhat anAPI isCan namethree datavisualisationtoolsHasworkedwith SQLdatabasesCan explainwhat a datawarehouseisHas workedon a datamigrationprojectHas dealtwith dataqualityissuesKnowswhat ETLstands forHasautomateda dataprocessKnows thedifferencebetweenstructured andunstructureddataHas writtena dataanalysisreportHas usedTableauor PowerBIHas built adashboardfromscratchHas useddata to solvea businessproblemHastrainedothers ondata toolsHascollaboratedacrossagencies ondataHaspresenteddata insightsto seniormanagementHas usedPython orR foranalysisHasworkedwith real-time dataCan explaindatagovernanceHascleanedmessydatasetsKnowswhatmachinelearning isHas usedExcelpivottablesHas createdcharts orgraphs for apresentationHascreated adatadictionaryCanexplainwhat anAPI isCan namethree datavisualisationtoolsHasworkedwith SQLdatabasesCan explainwhat a datawarehouseisHas workedon a datamigrationprojectHas dealtwith dataqualityissuesKnowswhat ETLstands forHasautomateda dataprocessKnows thedifferencebetweenstructured andunstructureddataHas writtena dataanalysisreportHas usedTableauor PowerBIHas built adashboardfromscratchHas useddata to solvea businessproblem

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