Cancalculate asimplecorrelationcoefficientCandescribe theprocess ofhypothesistestingHascodedin RCanidentifyoutliers ina datasetHas built adashboardusingTableau orPower BIHas donedatavisualisationCan interpreta basicregressionanalysisKnows howto create apie chart inExcelCan identifytrends in atime seriesdatasetPursuing adegree indata scienceor analyticsCan explainthe conceptof overfittingin machinelearningHasdeployedmachinelearningmodelsUnderstandsthe conceptof data typesHasattended adata sciencemeetup orconferenceHascoded inPythonCan explainthe conceptof datanormalizationKnows howto importdata into aspreadsheetor databaseCan explainmachinelearningconceptsKnowswhat ahistogramis used forCaninterpretA/B testresultsHas usedExcel fordataanalysisKnowswhat abox plotrepresents Knows howto create abar chart inExcelHascontributed toopen-sourcedata scienceprojectsHasattended adata sciencebootcampHasexperiencewith cloudcomputingplatformsHas donedataanalysisHasconductedbasic datacleaningtasksCan explainthe differencebetweenmean andmedianKnowswhat adict is inPythonHasexperiencewithpredictivemodelingHasexperiencewithclusteringalgorithmsHas used pivottables for datasummarizationFreeKnows howto calculatea percentagechangeHascreated abasic lineplotCancalculate asimplecorrelationcoefficientCandescribe theprocess ofhypothesistestingHascodedin RCanidentifyoutliers ina datasetHas built adashboardusingTableau orPower BIHas donedatavisualisationCan interpreta basicregressionanalysisKnows howto create apie chart inExcelCan identifytrends in atime seriesdatasetPursuing adegree indata scienceor analyticsCan explainthe conceptof overfittingin machinelearningHasdeployedmachinelearningmodelsUnderstandsthe conceptof data typesHasattended adata sciencemeetup orconferenceHascoded inPythonCan explainthe conceptof datanormalizationKnows howto importdata into aspreadsheetor databaseCan explainmachinelearningconceptsKnowswhat ahistogramis used forCaninterpretA/B testresultsHas usedExcel fordataanalysisKnowswhat abox plotrepresents Knows howto create abar chart inExcelHascontributed toopen-sourcedata scienceprojectsHasattended adata sciencebootcampHasexperiencewith cloudcomputingplatformsHas donedataanalysisHasconductedbasic datacleaningtasksCan explainthe differencebetweenmean andmedianKnowswhat adict is inPythonHasexperiencewithpredictivemodelingHasexperiencewithclusteringalgorithmsHas used pivottables for datasummarizationFreeKnows howto calculatea percentagechangeHascreated abasic lineplot

Data Analytics Bingo - 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. Can calculate a simple correlation coefficient
  2. Can describe the process of hypothesis testing
  3. Has coded in R
  4. Can identify outliers in a dataset
  5. Has built a dashboard using Tableau or Power BI
  6. Has done data visualisation
  7. Can interpret a basic regression analysis
  8. Knows how to create a pie chart in Excel
  9. Can identify trends in a time series dataset
  10. Pursuing a degree in data science or analytics
  11. Can explain the concept of overfitting in machine learning
  12. Has deployed machine learning models
  13. Understands the concept of data types
  14. Has attended a data science meetup or conference
  15. Has coded in Python
  16. Can explain the concept of data normalization
  17. Knows how to import data into a spreadsheet or database
  18. Can explain machine learning concepts
  19. Knows what a histogram is used for
  20. Can interpret A/B test results
  21. Has used Excel for data analysis
  22. Knows what a box plot represents
  23. Knows how to create a bar chart in Excel
  24. Has contributed to open-source data science projects
  25. Has attended a data science bootcamp
  26. Has experience with cloud computing platforms
  27. Has done data analysis
  28. Has conducted basic data cleaning tasks
  29. Can explain the difference between mean and median
  30. Knows what a dict is in Python
  31. Has experience with predictive modeling
  32. Has experience with clustering algorithms
  33. Has used pivot tables for data summarization
  34. Free
  35. Knows how to calculate a percentage change
  36. Has created a basic line plot