Knows howto create abar chart inExcelHas donedatavisualisationCan interpreta basicregressionanalysisPursuing adegree indata scienceor analyticsHas usedExcel fordataanalysisCandescribe theprocess ofhypothesistestingCan explainthe conceptof datanormalizationHascreated abasic lineplotFreeCaninterpretA/B testresultsHasexperiencewithclusteringalgorithmsHascoded inPythonHascodedin RKnows howto calculatea percentagechangeHasexperiencewithpredictivemodelingHasdeployedmachinelearningmodelsHasattended adata sciencebootcampHas built adashboardusingTableau orPower BIHas donedataanalysisCanidentifyoutliers ina datasetUnderstandsthe conceptof data typesCan explainmachinelearningconceptsKnowswhat adict is inPythonCan identifytrends in atime seriesdatasetCancalculate asimplecorrelationcoefficientHasattended adata sciencemeetup orconferenceCan explainthe conceptof overfittingin machinelearningKnows howto create apie chart inExcelHasconductedbasic datacleaningtasksHas used pivottables for datasummarizationKnowswhat abox plotrepresents Can explainthe differencebetweenmean andmedianHasexperiencewith cloudcomputingplatformsKnows howto importdata into aspreadsheetor databaseKnowswhat ahistogramis used forHascontributed toopen-sourcedata scienceprojectsKnows howto create abar chart inExcelHas donedatavisualisationCan interpreta basicregressionanalysisPursuing adegree indata scienceor analyticsHas usedExcel fordataanalysisCandescribe theprocess ofhypothesistestingCan explainthe conceptof datanormalizationHascreated abasic lineplotFreeCaninterpretA/B testresultsHasexperiencewithclusteringalgorithmsHascoded inPythonHascodedin RKnows howto calculatea percentagechangeHasexperiencewithpredictivemodelingHasdeployedmachinelearningmodelsHasattended adata sciencebootcampHas built adashboardusingTableau orPower BIHas donedataanalysisCanidentifyoutliers ina datasetUnderstandsthe conceptof data typesCan explainmachinelearningconceptsKnowswhat adict is inPythonCan identifytrends in atime seriesdatasetCancalculate asimplecorrelationcoefficientHasattended adata sciencemeetup orconferenceCan explainthe conceptof overfittingin machinelearningKnows howto create apie chart inExcelHasconductedbasic datacleaningtasksHas used pivottables for datasummarizationKnowswhat abox plotrepresents Can explainthe differencebetweenmean andmedianHasexperiencewith cloudcomputingplatformsKnows howto importdata into aspreadsheetor databaseKnowswhat ahistogramis used forHascontributed toopen-sourcedata scienceprojects

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