Knows howto create abar chart inExcelHascreated abasic lineplotFreeHascodedin RHas usedExcel fordataanalysisPursuing adegree indata scienceor analyticsHas built adashboardusingTableau orPower BICan explainmachinelearningconceptsUnderstandsthe conceptof data typesHas donedatavisualisationHasattended adata sciencemeetup orconferenceHasattended adata sciencebootcampCan identifytrends in atime seriesdatasetHasdeployedmachinelearningmodelsHascoded inPythonKnows howto calculatea percentagechangeCan explainthe differencebetweenmean andmedianHas donedataanalysisKnows howto create apie chart inExcelHascontributed toopen-sourcedata scienceprojectsCan explainthe conceptof overfittingin machinelearningCaninterpretA/B testresultsCan explainthe conceptof datanormalizationCandescribe theprocess ofhypothesistestingKnowswhat ahistogramis used forHasexperiencewithclusteringalgorithmsHasconductedbasic datacleaningtasksHasexperiencewithpredictivemodelingKnowswhat adict is inPythonHas used pivottables for datasummarizationCancalculate asimplecorrelationcoefficientCan interpreta basicregressionanalysisHasexperiencewith cloudcomputingplatformsKnowswhat abox plotrepresents Knows howto importdata into aspreadsheetor databaseCanidentifyoutliers ina datasetKnows howto create abar chart inExcelHascreated abasic lineplotFreeHascodedin RHas usedExcel fordataanalysisPursuing adegree indata scienceor analyticsHas built adashboardusingTableau orPower BICan explainmachinelearningconceptsUnderstandsthe conceptof data typesHas donedatavisualisationHasattended adata sciencemeetup orconferenceHasattended adata sciencebootcampCan identifytrends in atime seriesdatasetHasdeployedmachinelearningmodelsHascoded inPythonKnows howto calculatea percentagechangeCan explainthe differencebetweenmean andmedianHas donedataanalysisKnows howto create apie chart inExcelHascontributed toopen-sourcedata scienceprojectsCan explainthe conceptof overfittingin machinelearningCaninterpretA/B testresultsCan explainthe conceptof datanormalizationCandescribe theprocess ofhypothesistestingKnowswhat ahistogramis used forHasexperiencewithclusteringalgorithmsHasconductedbasic datacleaningtasksHasexperiencewithpredictivemodelingKnowswhat adict is inPythonHas used pivottables for datasummarizationCancalculate asimplecorrelationcoefficientCan interpreta basicregressionanalysisHasexperiencewith cloudcomputingplatformsKnowswhat abox plotrepresents Knows howto importdata into aspreadsheetor databaseCanidentifyoutliers ina dataset

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