ClusteringOutlierDataprogrammingComputationalthinkingCookieFalsepositiveDatavisualizationEncodingSensordataDataanalysisDatamanipulationImagerecognitionData-drivendecisionPaireddataSpreadsheetModeltrainingDecisiontreeFalsenegativeUnstructureddataSemi-supervisedlearningBargraphTestdataStreamingdataMachinelearningAlgorithmStatisticErrorTrainingdataDatapointPiechartSamplingbiasDatacleaningNaturallanguageprocessingDashboardsModelevaluationOverfittingNeuralnetworkDatanotebookMisinformationDataanonymizationBigdataReinforcementlearningPredictionHistogramDatasetChatbotArtificialintelligenceRecommendersystemClusteringOutlierDataprogrammingComputationalthinkingCookieFalsepositiveDatavisualizationEncodingSensordataDataanalysisDatamanipulationImagerecognitionData-drivendecisionPaireddataSpreadsheetModeltrainingDecisiontreeFalsenegativeUnstructureddataSemi-supervisedlearningBargraphTestdataStreamingdataMachinelearningAlgorithmStatisticErrorTrainingdataDatapointPiechartSamplingbiasDatacleaningNaturallanguageprocessingDashboardsModelevaluationOverfittingNeuralnetworkDatanotebookMisinformationDataanonymizationBigdataReinforcementlearningPredictionHistogramDatasetChatbotArtificialintelligenceRecommendersystem

Data Detectives 101 - 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. Clustering
  2. Outlier
  3. Data programming
  4. Computational thinking
  5. Cookie
  6. False positive
  7. Data visualization
  8. Encoding
  9. Sensor data
  10. Data analysis
  11. Data manipulation
  12. Image recognition
  13. Data-driven decision
  14. Paired data
  15. Spreadsheet
  16. Model training
  17. Decision tree
  18. False negative
  19. Unstructured data
  20. Semi-supervised learning
  21. Bar graph
  22. Test data
  23. Streaming data
  24. Machine learning
  25. Algorithm
  26. Statistic
  27. Error
  28. Training data
  29. Data point
  30. Pie chart
  31. Sampling bias
  32. Data cleaning
  33. Natural language processing
  34. Dashboards
  35. Model evaluation
  36. Overfitting
  37. Neural network
  38. Data notebook
  39. Misinformation
  40. Data anonymization
  41. Big data
  42. Reinforcement learning
  43. Prediction
  44. Histogram
  45. Dataset
  46. Chatbot
  47. Artificial intelligence
  48. Recommender system