HascleanedmessydatasetsCan explaindatagovernanceHaspresenteddata insightsto seniormanagementHastrainedothers ondata toolsHas usedExcelpivottablesHasworkedwith real-time dataHascollaboratedacrossagencies ondataHas writtena dataanalysisreportCan explainwhat a datawarehouseisCan namethree datavisualisationtoolsHasautomateda dataprocessHas built adashboardfromscratchHascreated adatadictionaryHas usedTableauor PowerBIHas usedPython orR foranalysisHasworkedwith SQLdatabasesKnows thedifferencebetweenstructured andunstructureddataHas dealtwith dataqualityissuesCanexplainwhat anAPI isHas createdcharts orgraphs for apresentationKnowswhatmachinelearning isHas workedon a datamigrationprojectHas useddata to solvea businessproblemKnowswhat ETLstands forHascleanedmessydatasetsCan explaindatagovernanceHaspresenteddata insightsto seniormanagementHastrainedothers ondata toolsHas usedExcelpivottablesHasworkedwith real-time dataHascollaboratedacrossagencies ondataHas writtena dataanalysisreportCan explainwhat a datawarehouseisCan namethree datavisualisationtoolsHasautomateda dataprocessHas built adashboardfromscratchHascreated adatadictionaryHas usedTableauor PowerBIHas usedPython orR foranalysisHasworkedwith SQLdatabasesKnows thedifferencebetweenstructured andunstructureddataHas dealtwith dataqualityissuesCanexplainwhat anAPI isHas createdcharts orgraphs for apresentationKnowswhatmachinelearning isHas workedon a datamigrationprojectHas useddata to solvea businessproblemKnowswhat ETLstands for

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