Knows thedifferencebetweenstructured andunstructureddataKnowswhat ETLstands forHas built adashboardfromscratchCan namethree datavisualisationtoolsHaspresenteddata insightsto seniormanagementHas workedon a datamigrationprojectHascleanedmessydatasetsHas dealtwith dataqualityissuesHas usedPython orR foranalysisHastrainedothers ondata toolsKnowswhatmachinelearning isHas usedExcelpivottablesHascollaboratedacrossagencies ondataHas useddata to solvea businessproblemHasworkedwith SQLdatabasesHas createdcharts orgraphs for apresentationHasautomateda dataprocessCan explainwhat a datawarehouseisHas usedTableauor PowerBIHas writtena dataanalysisreportCanexplainwhat anAPI isCan explaindatagovernanceHasworkedwith real-time dataHascreated adatadictionaryKnows thedifferencebetweenstructured andunstructureddataKnowswhat ETLstands forHas built adashboardfromscratchCan namethree datavisualisationtoolsHaspresenteddata insightsto seniormanagementHas workedon a datamigrationprojectHascleanedmessydatasetsHas dealtwith dataqualityissuesHas usedPython orR foranalysisHastrainedothers ondata toolsKnowswhatmachinelearning isHas usedExcelpivottablesHascollaboratedacrossagencies ondataHas useddata to solvea businessproblemHasworkedwith SQLdatabasesHas createdcharts orgraphs for apresentationHasautomateda dataprocessCan explainwhat a datawarehouseisHas usedTableauor PowerBIHas writtena dataanalysisreportCanexplainwhat anAPI isCan explaindatagovernanceHasworkedwith real-time dataHascreated adatadictionary

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