Can interpreta basicregressionanalysisCan explainthe conceptof datanormalizationHasexperiencewithclusteringalgorithmsKnows howto calculatea percentagechangeFreeHas usedExcel fordataanalysisHascontributed toopen-sourcedata scienceprojectsKnows howto create apie chart inExcelCaninterpretA/B testresultsHascoded inPythonCanidentifyoutliers ina datasetCan explainmachinelearningconceptsHas donedataanalysisKnowswhat adict is inPythonHas donedatavisualisationKnows howto create abar chart inExcelHascodedin RHasexperiencewithpredictivemodelingHasexperiencewith cloudcomputingplatformsHasattended adata sciencemeetup orconferenceCan identifytrends in atime seriesdatasetCandescribe theprocess ofhypothesistestingHasattended adata sciencebootcampHas used pivottables for datasummarizationCancalculate asimplecorrelationcoefficientHas built adashboardusingTableau orPower BIKnows howto importdata into aspreadsheetor databaseCan explainthe conceptof overfittingin machinelearningUnderstandsthe conceptof data typesHasconductedbasic datacleaningtasksHasdeployedmachinelearningmodelsHascreated abasic lineplotPursuing adegree indata scienceor analyticsCan explainthe differencebetweenmean andmedianKnowswhat ahistogramis used forKnowswhat abox plotrepresents Can interpreta basicregressionanalysisCan explainthe conceptof datanormalizationHasexperiencewithclusteringalgorithmsKnows howto calculatea percentagechangeFreeHas usedExcel fordataanalysisHascontributed toopen-sourcedata scienceprojectsKnows howto create apie chart inExcelCaninterpretA/B testresultsHascoded inPythonCanidentifyoutliers ina datasetCan explainmachinelearningconceptsHas donedataanalysisKnowswhat adict is inPythonHas donedatavisualisationKnows howto create abar chart inExcelHascodedin RHasexperiencewithpredictivemodelingHasexperiencewith cloudcomputingplatformsHasattended adata sciencemeetup orconferenceCan identifytrends in atime seriesdatasetCandescribe theprocess ofhypothesistestingHasattended adata sciencebootcampHas used pivottables for datasummarizationCancalculate asimplecorrelationcoefficientHas built adashboardusingTableau orPower BIKnows howto importdata into aspreadsheetor databaseCan explainthe conceptof overfittingin machinelearningUnderstandsthe conceptof data typesHasconductedbasic datacleaningtasksHasdeployedmachinelearningmodelsHascreated abasic lineplotPursuing adegree indata scienceor analyticsCan explainthe differencebetweenmean andmedianKnowswhat ahistogramis used forKnowswhat abox plotrepresents 

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