Has createdcharts orgraphs for apresentationKnowswhat ETLstands forHas usedExcelpivottablesHas dealtwith dataqualityissuesHasworkedwith SQLdatabasesHascreated adatadictionaryHas useddata to solvea businessproblemHascleanedmessydatasetsKnows thedifferencebetweenstructured andunstructureddataCan explaindatagovernanceHaspresenteddata insightsto seniormanagementCan explainwhat a datawarehouseisKnowswhatmachinelearning isHas built adashboardfromscratchHas usedPython orR foranalysisHas usedTableauor PowerBIHascollaboratedacrossagencies ondataCanexplainwhat anAPI isHas workedon a datamigrationprojectHas writtena dataanalysisreportHasautomateda dataprocessHasworkedwith real-time dataCan namethree datavisualisationtoolsHastrainedothers ondata toolsHas createdcharts orgraphs for apresentationKnowswhat ETLstands forHas usedExcelpivottablesHas dealtwith dataqualityissuesHasworkedwith SQLdatabasesHascreated adatadictionaryHas useddata to solvea businessproblemHascleanedmessydatasetsKnows thedifferencebetweenstructured andunstructureddataCan explaindatagovernanceHaspresenteddata insightsto seniormanagementCan explainwhat a datawarehouseisKnowswhatmachinelearning isHas built adashboardfromscratchHas usedPython orR foranalysisHas usedTableauor PowerBIHascollaboratedacrossagencies ondataCanexplainwhat anAPI isHas workedon a datamigrationprojectHas writtena dataanalysisreportHasautomateda dataprocessHasworkedwith real-time dataCan namethree datavisualisationtoolsHastrainedothers ondata tools

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