Has a hobbyrelated tonumbers orpuzzlesIs afootball(soccer)fanHasa petHas auniquehobbyHasattended adataanalyticsmeetupIs amorningpersonSpeaksmore than1languageEnjoysworkingwith largedatasetsHas usedSQL in aproject in thelast 12monthsLoves tocook/bakeEnjoysoutdooractivitiesWanted tostudysomethingother thananalyticsHas metacelebrityHasautomateda reportKnowsPythonor RLovesvisualizingdataLoveslisteningtopodcastsLovescoffeeor teaHas workedat morethan 3companiesPrefersremoteworkHas afavouritefinance oranalyticsbookHas built adashboardHastravelledfor workHas workedon a creditmodel orscorecardHas a hobbyrelated tonumbers orpuzzlesIs afootball(soccer)fanHasa petHas auniquehobbyHasattended adataanalyticsmeetupIs amorningpersonSpeaksmore than1languageEnjoysworkingwith largedatasetsHas usedSQL in aproject in thelast 12monthsLoves tocook/bakeEnjoysoutdooractivitiesWanted tostudysomethingother thananalyticsHas metacelebrityHasautomateda reportKnowsPythonor RLovesvisualizingdataLoveslisteningtopodcastsLovescoffeeor teaHas workedat morethan 3companiesPrefersremoteworkHas afavouritefinance oranalyticsbookHas built adashboardHastravelledfor workHas workedon a creditmodel orscorecard

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.


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