likesSQLReLUT-shirtsizeUses >4programminglanguagesWorksonAWSRandomForestRegressionConstraintPySparkhascompleted ahardLeetCodequestionDataWarehousePeerReviewXAIDimensionFeatureEngineeringPrefersggplot tomatplotlibuses RStudioClassificationdoesn'tuse aVPNBayes’TheoremPrefersLinuxhas usedGitHubCopilothas usedGoogleColabQlikViewUnsupervisedLearningk-MeansScrumis a PythonprogrammerRequirementsSVMDataGovernanceGANusesJavaPreferstensorflowto pytorchhasn'tevercodedbeforethatusesFirebaseAzurethat hasbuilt anAndroidappUsesJupyterThreeLaws ofRoboticsCleanDataYaxisDataMiningOverfittingPowerBIETLpipelineusesVisualStudioCodeUses astandingdeskHas askedChatGPT adata sciencequestiondoesn'tuse GitKafkaDataVaultusesGithascreated apullrequestKubernetesAlignmenthascompletedahackathonInsightsSnowflakelikesSQLReLUT-shirtsizeUses >4programminglanguagesWorksonAWSRandomForestRegressionConstraintPySparkhascompleted ahardLeetCodequestionDataWarehousePeerReviewXAIDimensionFeatureEngineeringPrefersggplot tomatplotlibuses RStudioClassificationdoesn'tuse aVPNBayes’TheoremPrefersLinuxhas usedGitHubCopilothas usedGoogleColabQlikViewUnsupervisedLearningk-MeansScrumis a PythonprogrammerRequirementsSVMDataGovernanceGANusesJavaPreferstensorflowto pytorchhasn'tevercodedbeforethatusesFirebaseAzurethat hasbuilt anAndroidappUsesJupyterThreeLaws ofRoboticsCleanDataYaxisDataMiningOverfittingPowerBIETLpipelineusesVisualStudioCodeUses astandingdeskHas askedChatGPT adata sciencequestiondoesn'tuse GitKafkaDataVaultusesGithascreated apullrequestKubernetesAlignmenthascompletedahackathonInsightsSnowflake

True Data Experts: - 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. likes SQL
  2. ReLU
  3. T-shirt size
  4. Uses >4 programming languages
  5. Works on AWS
  6. Random Forest
  7. Regression
  8. Constraint
  9. PySpark
  10. has completed a hard LeetCode question
  11. Data Warehouse
  12. Peer Review
  13. XAI
  14. Dimension
  15. Feature Engineering
  16. Prefers ggplot to matplotlib
  17. uses R Studio
  18. Classification
  19. doesn't use a VPN
  20. Bayes’ Theorem
  21. Prefers Linux
  22. has used GitHub Copilot
  23. has used Google Colab
  24. QlikView
  25. Unsupervised Learning
  26. k-Means
  27. Scrum
  28. is a Python programmer
  29. Requirements
  30. SVM
  31. Data Governance
  32. GAN
  33. uses Java
  34. Prefers tensorflow to pytorch
  35. hasn't ever coded before
  36. that uses Firebase
  37. Azure
  38. that has built an Android app
  39. Uses Jupyter
  40. Three Laws of Robotics
  41. Clean Data
  42. Y axis
  43. Data Mining
  44. Overfitting
  45. Power BI
  46. ETL pipeline
  47. uses Visual Studio Code
  48. Uses a standing desk
  49. Has asked ChatGPT a data science question
  50. doesn't use Git
  51. Kafka
  52. Data Vault
  53. uses Git
  54. has created a pull request
  55. Kubernetes
  56. Alignment
  57. has completed a hackathon
  58. Insights
  59. Snowflake