PiechartDatanotebookClusteringSamplingbiasArtificialintelligenceFalsenegativeRecommendersystemTestdataBargraphReinforcementlearningStatisticDatavisualizationStreamingdataDatasetData-drivendecisionPaireddataDataanalysisComputationalthinkingDatamanipulationModeltrainingImagerecognitionDashboardsHistogramModelevaluationMachinelearningOverfittingPredictionMisinformationNeuralnetworkDecisiontreeSpreadsheetDataanonymizationTrainingdataBigdataChatbotAlgorithmCookieEncodingDataprogrammingUnstructureddataErrorSensordataDatapointSemi-supervisedlearningOutlierFalsepositiveNaturallanguageprocessingDatacleaningPiechartDatanotebookClusteringSamplingbiasArtificialintelligenceFalsenegativeRecommendersystemTestdataBargraphReinforcementlearningStatisticDatavisualizationStreamingdataDatasetData-drivendecisionPaireddataDataanalysisComputationalthinkingDatamanipulationModeltrainingImagerecognitionDashboardsHistogramModelevaluationMachinelearningOverfittingPredictionMisinformationNeuralnetworkDecisiontreeSpreadsheetDataanonymizationTrainingdataBigdataChatbotAlgorithmCookieEncodingDataprogrammingUnstructureddataErrorSensordataDatapointSemi-supervisedlearningOutlierFalsepositiveNaturallanguageprocessingDatacleaning

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