Can explainwhat a datawarehouseisCan explaindatagovernanceKnows thedifferencebetweenstructured andunstructureddataKnowswhat ETLstands forHastrainedothers ondata toolsHascleanedmessydatasetsHas createdcharts orgraphs for apresentationHas workedon a datamigrationprojectCan namethree datavisualisationtoolsHasworkedwith real-time dataHascreated adatadictionaryHas built adashboardfromscratchKnowswhatmachinelearning isHas dealtwith dataqualityissuesHascollaboratedacrossagencies ondataHas writtena dataanalysisreportHas usedPython orR foranalysisHasworkedwith SQLdatabasesHas usedExcelpivottablesHaspresenteddata insightsto seniormanagementHasautomateda dataprocessHas useddata to solvea businessproblemHas usedTableauor PowerBICanexplainwhat anAPI isCan explainwhat a datawarehouseisCan explaindatagovernanceKnows thedifferencebetweenstructured andunstructureddataKnowswhat ETLstands forHastrainedothers ondata toolsHascleanedmessydatasetsHas createdcharts orgraphs for apresentationHas workedon a datamigrationprojectCan namethree datavisualisationtoolsHasworkedwith real-time dataHascreated adatadictionaryHas built adashboardfromscratchKnowswhatmachinelearning isHas dealtwith dataqualityissuesHascollaboratedacrossagencies ondataHas writtena dataanalysisreportHas usedPython orR foranalysisHasworkedwith SQLdatabasesHas usedExcelpivottablesHaspresenteddata insightsto seniormanagementHasautomateda dataprocessHas useddata to solvea businessproblemHas usedTableauor PowerBICanexplainwhat anAPI 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. Can explain what a data warehouse is
  2. Can explain data governance
  3. Knows the difference between structured and unstructured data
  4. Knows what ETL stands for
  5. Has trained others on data tools
  6. Has cleaned messy datasets
  7. Has created charts or graphs for a presentation
  8. Has worked on a data migration project
  9. Can name three data visualisation tools
  10. Has worked with real-time data
  11. Has created a data dictionary
  12. Has built a dashboard from scratch
  13. Knows what machine learning is
  14. Has dealt with data quality issues
  15. Has collaborated across agencies on data
  16. Has written a data analysis report
  17. Has used Python or R for analysis
  18. Has worked with SQL databases
  19. Has used Excel pivot tables
  20. Has presented data insights to senior management
  21. Has automated a data process
  22. Has used data to solve a business problem
  23. Has used Tableau or Power BI
  24. Can explain what an API is