Knows thedifferencebetweenstructured andunstructureddataHascreated adatadictionaryHas usedTableauor PowerBIHasworkedwith real-time dataHasautomateda dataprocessCan explainwhat a datawarehouseisHasworkedwith SQLdatabasesHas useddata to solvea businessproblemHas usedPython orR foranalysisHas writtena dataanalysisreportCan namethree datavisualisationtoolsHastrainedothers ondata toolsHas createdcharts orgraphs for apresentationHas built adashboardfromscratchHaspresenteddata insightsto seniormanagementHas usedExcelpivottablesKnowswhatmachinelearning isCan explaindatagovernanceHas dealtwith dataqualityissuesHascleanedmessydatasetsHas workedon a datamigrationprojectKnowswhat ETLstands forCanexplainwhat anAPI isHascollaboratedacrossagencies ondataKnows thedifferencebetweenstructured andunstructureddataHascreated adatadictionaryHas usedTableauor PowerBIHasworkedwith real-time dataHasautomateda dataprocessCan explainwhat a datawarehouseisHasworkedwith SQLdatabasesHas useddata to solvea businessproblemHas usedPython orR foranalysisHas writtena dataanalysisreportCan namethree datavisualisationtoolsHastrainedothers ondata toolsHas createdcharts orgraphs for apresentationHas built adashboardfromscratchHaspresenteddata insightsto seniormanagementHas usedExcelpivottablesKnowswhatmachinelearning isCan explaindatagovernanceHas dealtwith dataqualityissuesHascleanedmessydatasetsHas workedon a datamigrationprojectKnowswhat ETLstands forCanexplainwhat anAPI isHascollaboratedacrossagencies 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. Knows the difference between structured and unstructured data
  2. Has created a data dictionary
  3. Has used Tableau or Power BI
  4. Has worked with real-time data
  5. Has automated a data process
  6. Can explain what a data warehouse is
  7. Has worked with SQL databases
  8. Has used data to solve a business problem
  9. Has used Python or R for analysis
  10. Has written a data analysis report
  11. Can name three data visualisation tools
  12. Has trained others on data tools
  13. Has created charts or graphs for a presentation
  14. Has built a dashboard from scratch
  15. Has presented data insights to senior management
  16. Has used Excel pivot tables
  17. Knows what machine learning is
  18. Can explain data governance
  19. Has dealt with data quality issues
  20. Has cleaned messy datasets
  21. Has worked on a data migration project
  22. Knows what ETL stands for
  23. Can explain what an API is
  24. Has collaborated across agencies on data