Can namethree datavisualisationtoolsCan explaindatagovernanceHas useddata to solvea businessproblemHastrainedothers ondata toolsHas dealtwith dataqualityissuesHaspresenteddata insightsto seniormanagementKnowswhat ETLstands forCan explainwhat a datawarehouseisHas writtena dataanalysisreportHasautomateda dataprocessKnowswhatmachinelearning isCanexplainwhat anAPI isHas usedPython orR foranalysisHasworkedwith SQLdatabasesHascleanedmessydatasetsHascreated adatadictionaryKnows thedifferencebetweenstructured andunstructureddataHas usedExcelpivottablesHas workedon a datamigrationprojectHascollaboratedacrossagencies ondataHas built adashboardfromscratchHas createdcharts orgraphs for apresentationHasworkedwith real-time dataHas usedTableauor PowerBICan namethree datavisualisationtoolsCan explaindatagovernanceHas useddata to solvea businessproblemHastrainedothers ondata toolsHas dealtwith dataqualityissuesHaspresenteddata insightsto seniormanagementKnowswhat ETLstands forCan explainwhat a datawarehouseisHas writtena dataanalysisreportHasautomateda dataprocessKnowswhatmachinelearning isCanexplainwhat anAPI isHas usedPython orR foranalysisHasworkedwith SQLdatabasesHascleanedmessydatasetsHascreated adatadictionaryKnows thedifferencebetweenstructured andunstructureddataHas usedExcelpivottablesHas workedon a datamigrationprojectHascollaboratedacrossagencies ondataHas built adashboardfromscratchHas createdcharts orgraphs for apresentationHasworkedwith real-time dataHas usedTableauor PowerBI

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