ChatbotStatisticSpreadsheetMachinelearningOutlierPaireddataFalsepositivePiechartDataprogrammingDatanotebookArtificialintelligenceClusteringDataanalysisDatapointModeltrainingOverfittingNeuralnetworkMisinformationErrorDatavisualizationStreamingdataTestdataCookieDataanonymizationPredictionModelevaluationReinforcementlearningBigdataEncodingSemi-supervisedlearningUnstructureddataTrainingdataFalsenegativeDashboardsDatacleaningDecisiontreeImagerecognitionRecommendersystemAlgorithmData-drivendecisionHistogramBargraphSensordataSamplingbiasDatamanipulationNaturallanguageprocessingDatasetComputationalthinkingChatbotStatisticSpreadsheetMachinelearningOutlierPaireddataFalsepositivePiechartDataprogrammingDatanotebookArtificialintelligenceClusteringDataanalysisDatapointModeltrainingOverfittingNeuralnetworkMisinformationErrorDatavisualizationStreamingdataTestdataCookieDataanonymizationPredictionModelevaluationReinforcementlearningBigdataEncodingSemi-supervisedlearningUnstructureddataTrainingdataFalsenegativeDashboardsDatacleaningDecisiontreeImagerecognitionRecommendersystemAlgorithmData-drivendecisionHistogramBargraphSensordataSamplingbiasDatamanipulationNaturallanguageprocessingDatasetComputationalthinking

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