EnjoysoutdooractivitiesHas auniquehobbyHas built adashboardHasattended adataanalyticsmeetupHas workedon a creditmodel orscorecardHasa petHasautomateda reportHas afavouritefinance oranalyticsbookHas a hobbyrelated tonumbers orpuzzlesLoveslisteningtopodcastsSpeaksmore than1languagePrefersremoteworkHas usedSQL in aproject in thelast 12monthsIs afootball(soccer)fanIs amorningpersonKnowsPythonor RHastravelledfor workLovesvisualizingdataHas metacelebrityLovescoffeeor teaHas workedat morethan 3companiesLoves tocook/bakeEnjoysworkingwith largedatasetsWanted tostudysomethingother thananalyticsEnjoysoutdooractivitiesHas auniquehobbyHas built adashboardHasattended adataanalyticsmeetupHas workedon a creditmodel orscorecardHasa petHasautomateda reportHas afavouritefinance oranalyticsbookHas a hobbyrelated tonumbers orpuzzlesLoveslisteningtopodcastsSpeaksmore than1languagePrefersremoteworkHas usedSQL in aproject in thelast 12monthsIs afootball(soccer)fanIs amorningpersonKnowsPythonor RHastravelledfor workLovesvisualizingdataHas metacelebrityLovescoffeeor teaHas workedat morethan 3companiesLoves tocook/bakeEnjoysworkingwith largedatasetsWanted tostudysomethingother thananalytics

Decision Analytics New Joiner 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. Enjoys outdoor activities
  2. Has a unique hobby
  3. Has built a dashboard
  4. Has attended a data analytics meetup
  5. Has worked on a credit model or scorecard
  6. Has a pet
  7. Has automated a report
  8. Has a favourite finance or analytics book
  9. Has a hobby related to numbers or puzzles
  10. Loves listening to podcasts
  11. Speaks more than 1 language
  12. Prefers remote work
  13. Has used SQL in a project in the last 12 months
  14. Is a football (soccer) fan
  15. Is a morning person
  16. Knows Python or R
  17. Has travelled for work
  18. Loves visualizing data
  19. Has met a celebrity
  20. Loves coffee or tea
  21. Has worked at more than 3 companies
  22. Loves to cook/bake
  23. Enjoys working with large datasets
  24. Wanted to study something other than analytics