Has usedPython orR foranalysisHascleanedmessydatasetsCan nameone datavisualisationtoolHas usedTableauor PowerBIHaspresenteddata insightsto seniormanagementHas dealtwith dataqualityissuesEnjoysfindingpatternsin dataHas writtena dataanalysisreportHastrainedothers ondata toolsKnowswhatmachinelearning isHas workedon a datamigrationprojectLoveslooking atdashboardsHas useddata to solvea businessproblemHas built adashboardfromscratchAttendedLCF 101Has foundan outlierin dataHasautomateda dataprocessHas usedExcelpivottablesCan explainwhat a datawarehouseisUses datato track apersonalgoalCan explaindatagovernanceHascollaboratedacrossagencies ondataHas createdcharts orgraphs for apresentationHasworkedwith SQLdatabasesHas usedPython orR foranalysisHascleanedmessydatasetsCan nameone datavisualisationtoolHas usedTableauor PowerBIHaspresenteddata insightsto seniormanagementHas dealtwith dataqualityissuesEnjoysfindingpatternsin dataHas writtena dataanalysisreportHastrainedothers ondata toolsKnowswhatmachinelearning isHas workedon a datamigrationprojectLoveslooking atdashboardsHas useddata to solvea businessproblemHas built adashboardfromscratchAttendedLCF 101Has foundan outlierin dataHasautomateda dataprocessHas usedExcelpivottablesCan explainwhat a datawarehouseisUses datato track apersonalgoalCan explaindatagovernanceHascollaboratedacrossagencies ondataHas createdcharts orgraphs for apresentationHasworkedwith SQLdatabases

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. Has used Python or R for analysis
  2. Has cleaned messy datasets
  3. Can name one data visualisation tool
  4. Has used Tableau or Power BI
  5. Has presented data insights to senior management
  6. Has dealt with data quality issues
  7. Enjoys finding patterns in data
  8. Has written a data analysis report
  9. Has trained others on data tools
  10. Knows what machine learning is
  11. Has worked on a data migration project
  12. Loves looking at dashboards
  13. Has used data to solve a business problem
  14. Has built a dashboard from scratch
  15. Attended LCF 101
  16. Has found an outlier in data
  17. Has automated a data process
  18. Has used Excel pivot tables
  19. Can explain what a data warehouse is
  20. Uses data to track a personal goal
  21. Can explain data governance
  22. Has collaborated across agencies on data
  23. Has created charts or graphs for a presentation
  24. Has worked with SQL databases