Had toexplain p-values to anon-technicalaudienceStillusespython 2Wrote an entirefunction, only todiscover there’sa library thatdoes it betterHas hard-codedsomething“just for thedemo”UsesPythonBelievesfeatureengineering ismore importantthan modelselectionPreferspytorch totensorflowHasmanuallycleaned aCSV in ExcelHastransitionedinto datafrom anotherfieldThinksXGBoostis still kingFound outthat yourdataset hasduplicate rowsafter analysisTried toexplain whycorrelation≠ causationUses >4programminglanguagesUsesVisualStudioCodeThought aproject wouldtake aweek…it tookthree monthsHas vibecodedsomethingHas aChatGPTProsubscriptionSpeaks>4 naturallanguagesPresented amodel/dash-board, only tobe asked for anExcel exportBuilt adashboardthat no oneever usedUsesJupyterSomeoneasked you to“just add AI”to a projectPrefersTableau toPowerBIThinks mostAI-generatedimages lookslightly offHas beenasked “isthis AI?”KnowsBayestheorem offthe top oftheir headHastrained amodel ona GPUStudied/studiesdatascienceTried toexplainoverfitting toyourmanager/clientUsesMATLABHas usedreinforcementlearningHad a modelworkperfectly…only intrainingHas beento a datascienceconferencePrefersMacOSHas Googledtheir ownerrormessageword-for-wordHasneverused gitPrefers shippingsomethingsimple overbuildingsomethingcleverSpends moretime wranglingdata thanbuildingmodelsUses ChatGPT(or Gemini/Claude) 3+times per weekHasbrokenproductionHas copiedcode fromStackOverflowHas beenthe onlydata personon a teamUsesRTuned hyper-parametersfor hours withnoimprovementHasworkedremotelyfull-timePrefersGemini toChatGPTHad toexplain p-values to anon-technicalaudienceStillusespython 2Wrote an entirefunction, only todiscover there’sa library thatdoes it betterHas hard-codedsomething“just for thedemo”UsesPythonBelievesfeatureengineering ismore importantthan modelselectionPreferspytorch totensorflowHasmanuallycleaned aCSV in ExcelHastransitionedinto datafrom anotherfieldThinksXGBoostis still kingFound outthat yourdataset hasduplicate rowsafter analysisTried toexplain whycorrelation≠ causationUses >4programminglanguagesUsesVisualStudioCodeThought aproject wouldtake aweek…it tookthree monthsHas vibecodedsomethingHas aChatGPTProsubscriptionSpeaks>4 naturallanguagesPresented amodel/dash-board, only tobe asked for anExcel exportBuilt adashboardthat no oneever usedUsesJupyterSomeoneasked you to“just add AI”to a projectPrefersTableau toPowerBIThinks mostAI-generatedimages lookslightly offHas beenasked “isthis AI?”KnowsBayestheorem offthe top oftheir headHastrained amodel ona GPUStudied/studiesdatascienceTried toexplainoverfitting toyourmanager/clientUsesMATLABHas usedreinforcementlearningHad a modelworkperfectly…only intrainingHas beento a datascienceconferencePrefersMacOSHas Googledtheir ownerrormessageword-for-wordHasneverused gitPrefers shippingsomethingsimple overbuildingsomethingcleverSpends moretime wranglingdata thanbuildingmodelsUses ChatGPT(or Gemini/Claude) 3+times per weekHasbrokenproductionHas copiedcode fromStackOverflowHas beenthe onlydata personon a teamUsesRTuned hyper-parametersfor hours withnoimprovementHasworkedremotelyfull-timePrefersGemini toChatGPT

Data Science 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
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
  1. Had to explain p-values to a non-technical audience
  2. Still uses python 2
  3. Wrote an entire function, only to discover there’s a library that does it better
  4. Has hard-coded something “just for the demo”
  5. Uses Python
  6. Believes feature engineering is more important than model selection
  7. Prefers pytorch to tensorflow
  8. Has manually cleaned a CSV in Excel
  9. Has transitioned into data from another field
  10. Thinks XGBoost is still king
  11. Found out that your dataset has duplicate rows after analysis
  12. Tried to explain why correlation ≠ causation
  13. Uses >4 programming languages
  14. Uses Visual Studio Code
  15. Thought a project would take a week…it took three months
  16. Has vibe coded something
  17. Has a ChatGPT Pro subscription
  18. Speaks >4 natural languages
  19. Presented a model/dash-board, only to be asked for an Excel export
  20. Built a dashboard that no one ever used
  21. Uses Jupyter
  22. Someone asked you to “just add AI” to a project
  23. Prefers Tableau to PowerBI
  24. Thinks most AI-generated images look slightly off
  25. Has been asked “is this AI?”
  26. Knows Bayes theorem off the top of their head
  27. Has trained a model on a GPU
  28. Studied/ studies data science
  29. Tried to explain overfitting to your manager/client
  30. Uses MATLAB
  31. Has used reinforcement learning
  32. Had a model work perfectly…only in training
  33. Has been to a data science conference
  34. Prefers MacOS
  35. Has Googled their own error message word-for-word
  36. Has never used git
  37. Prefers shipping something simple over building something clever
  38. Spends more time wrangling data than building models
  39. Uses ChatGPT (or Gemini/ Claude) 3+ times per week
  40. Has broken production
  41. Has copied code from Stack Overflow
  42. Has been the only data person on a team
  43. Uses R
  44. Tuned hyper-parameters for hours with no improvement
  45. Has worked remotely full-time
  46. Prefers Gemini to ChatGPT