Can namethree datavisualisationtoolsHas workedon a datamigrationprojectHasautomateda dataprocessHas usedTableauor PowerBIHas usedExcelpivottablesHascreated adatadictionaryKnows thedifferencebetweenstructured andunstructureddataHascollaboratedacrossagencies ondataCan explainwhat a datawarehouseisHas useddata to solvea businessproblemHastrainedothers ondata toolsHascleanedmessydatasetsCanexplainwhat anAPI isCan explaindatagovernanceHas built adashboardfromscratchHas dealtwith dataqualityissuesKnowswhatmachinelearning isKnowswhat ETLstands forHasworkedwith SQLdatabasesHas writtena dataanalysisreportHas usedPython orR foranalysisHasworkedwith real-time dataHas createdcharts orgraphs for apresentationHaspresenteddata insightsto seniormanagementCan namethree datavisualisationtoolsHas workedon a datamigrationprojectHasautomateda dataprocessHas usedTableauor PowerBIHas usedExcelpivottablesHascreated adatadictionaryKnows thedifferencebetweenstructured andunstructureddataHascollaboratedacrossagencies ondataCan explainwhat a datawarehouseisHas useddata to solvea businessproblemHastrainedothers ondata toolsHascleanedmessydatasetsCanexplainwhat anAPI isCan explaindatagovernanceHas built adashboardfromscratchHas dealtwith dataqualityissuesKnowswhatmachinelearning isKnowswhat ETLstands forHasworkedwith SQLdatabasesHas writtena dataanalysisreportHas usedPython orR foranalysisHasworkedwith real-time dataHas createdcharts orgraphs for apresentationHaspresenteddata insightsto seniormanagement

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