Hascreated adatadictionaryHas workedon a datamigrationprojectCan explaindatagovernanceHascollaboratedacrossagencies ondataCan explainwhat a datawarehouseisHas usedTableauor PowerBIHas usedPython orR foranalysisHaspresenteddata insightsto seniormanagementHas built adashboardfromscratchHasautomateda dataprocessHas writtena dataanalysisreportKnowswhat ETLstands forCan namethree datavisualisationtoolsKnowswhatmachinelearning isHas createdcharts orgraphs for apresentationHastrainedothers ondata toolsKnows thedifferencebetweenstructured andunstructureddataHasworkedwith SQLdatabasesHas usedExcelpivottablesHas useddata to solvea businessproblemCanexplainwhat anAPI isHasworkedwith real-time dataHas dealtwith dataqualityissuesHascleanedmessydatasetsHascreated adatadictionaryHas workedon a datamigrationprojectCan explaindatagovernanceHascollaboratedacrossagencies ondataCan explainwhat a datawarehouseisHas usedTableauor PowerBIHas usedPython orR foranalysisHaspresenteddata insightsto seniormanagementHas built adashboardfromscratchHasautomateda dataprocessHas writtena dataanalysisreportKnowswhat ETLstands forCan namethree datavisualisationtoolsKnowswhatmachinelearning isHas createdcharts orgraphs for apresentationHastrainedothers ondata toolsKnows thedifferencebetweenstructured andunstructureddataHasworkedwith SQLdatabasesHas usedExcelpivottablesHas useddata to solvea businessproblemCanexplainwhat anAPI isHasworkedwith real-time dataHas dealtwith dataqualityissuesHascleanedmessydatasets

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