Can explaindatagovernanceHas usedTableauor PowerBICanexplainwhat anAPI isCan explainwhat a datawarehouseisKnows thedifferencebetweenstructured andunstructureddataHaspresenteddata insightsto seniormanagementHasautomateda dataprocessHascreated adatadictionaryHas usedPython orR foranalysisHas useddata to solvea businessproblemHas createdcharts orgraphs for apresentationCan namethree datavisualisationtoolsHasworkedwith real-time dataKnowswhat ETLstands forKnowswhatmachinelearning isHas workedon a datamigrationprojectHas writtena dataanalysisreportHas usedExcelpivottablesHascleanedmessydatasetsHas built adashboardfromscratchHas dealtwith dataqualityissuesHasworkedwith SQLdatabasesHastrainedothers ondata toolsHascollaboratedacrossagencies ondataCan explaindatagovernanceHas usedTableauor PowerBICanexplainwhat anAPI isCan explainwhat a datawarehouseisKnows thedifferencebetweenstructured andunstructureddataHaspresenteddata insightsto seniormanagementHasautomateda dataprocessHascreated adatadictionaryHas usedPython orR foranalysisHas useddata to solvea businessproblemHas createdcharts orgraphs for apresentationCan namethree datavisualisationtoolsHasworkedwith real-time dataKnowswhat ETLstands forKnowswhatmachinelearning isHas workedon a datamigrationprojectHas writtena dataanalysisreportHas usedExcelpivottablesHascleanedmessydatasetsHas built adashboardfromscratchHas dealtwith dataqualityissuesHasworkedwith SQLdatabasesHastrainedothers ondata toolsHascollaboratedacrossagencies ondata

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.


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
  1. Can explain data governance
  2. Has used Tableau or Power BI
  3. Can explain what an API is
  4. Can explain what a data warehouse is
  5. Knows the difference between structured and unstructured data
  6. Has presented data insights to senior management
  7. Has automated a data process
  8. Has created a data dictionary
  9. Has used Python or R for analysis
  10. Has used data to solve a business problem
  11. Has created charts or graphs for a presentation
  12. Can name three data visualisation tools
  13. Has worked with real-time data
  14. Knows what ETL stands for
  15. Knows what machine learning is
  16. Has worked on a data migration project
  17. Has written a data analysis report
  18. Has used Excel pivot tables
  19. Has cleaned messy datasets
  20. Has built a dashboard from scratch
  21. Has dealt with data quality issues
  22. Has worked with SQL databases
  23. Has trained others on data tools
  24. Has collaborated across agencies on data