Hascreated adatadictionaryHastrainedothers ondata toolsCanexplainwhat anAPI isHas writtena dataanalysisreportKnows thedifferencebetweenstructured andunstructureddataHas createdcharts orgraphs for apresentationHas usedExcelpivottablesHasworkedwith real-time dataHas built adashboardfromscratchHasworkedwith SQLdatabasesCan namethree datavisualisationtoolsHascollaboratedacrossagencies ondataHaspresenteddata insightsto seniormanagementHas usedTableauor PowerBIHascleanedmessydatasetsHas workedon a datamigrationprojectHas dealtwith dataqualityissuesKnowswhatmachinelearning isKnowswhat ETLstands forHas useddata to solvea businessproblemHas usedPython orR foranalysisCan explaindatagovernanceHasautomateda dataprocessCan explainwhat a datawarehouseisHascreated adatadictionaryHastrainedothers ondata toolsCanexplainwhat anAPI isHas writtena dataanalysisreportKnows thedifferencebetweenstructured andunstructureddataHas createdcharts orgraphs for apresentationHas usedExcelpivottablesHasworkedwith real-time dataHas built adashboardfromscratchHasworkedwith SQLdatabasesCan namethree datavisualisationtoolsHascollaboratedacrossagencies ondataHaspresenteddata insightsto seniormanagementHas usedTableauor PowerBIHascleanedmessydatasetsHas workedon a datamigrationprojectHas dealtwith dataqualityissuesKnowswhatmachinelearning isKnowswhat ETLstands forHas useddata to solvea businessproblemHas usedPython orR foranalysisCan explaindatagovernanceHasautomateda dataprocessCan explainwhat a datawarehouseis

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