PaireddataSpreadsheetHistogramSensordataDataprogrammingArtificialintelligenceDatasetTrainingdataSamplingbiasClusteringDashboardsComputationalthinkingPredictionBargraphCookieData-drivendecisionOverfittingChatbotDecisiontreeNeuralnetworkModeltrainingPiechartDatacleaningModelevaluationDatavisualizationImagerecognitionFalsepositiveRecommendersystemTestdataOutlierAlgorithmDataanonymizationErrorDatapointSemi-supervisedlearningMisinformationDatamanipulationReinforcementlearningStreamingdataEncodingDataanalysisDatanotebookMachinelearningBigdataUnstructureddataFalsenegativeNaturallanguageprocessingStatisticPaireddataSpreadsheetHistogramSensordataDataprogrammingArtificialintelligenceDatasetTrainingdataSamplingbiasClusteringDashboardsComputationalthinkingPredictionBargraphCookieData-drivendecisionOverfittingChatbotDecisiontreeNeuralnetworkModeltrainingPiechartDatacleaningModelevaluationDatavisualizationImagerecognitionFalsepositiveRecommendersystemTestdataOutlierAlgorithmDataanonymizationErrorDatapointSemi-supervisedlearningMisinformationDatamanipulationReinforcementlearningStreamingdataEncodingDataanalysisDatanotebookMachinelearningBigdataUnstructureddataFalsenegativeNaturallanguageprocessingStatistic

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