Has built adashboardusingTableau orPower BIHascreated abasic lineplotHas used pivottables for datasummarizationFreeHasdeployedmachinelearningmodelsHasexperiencewithpredictivemodelingKnows howto create apie chart inExcelHasexperiencewithclusteringalgorithmsHasconductedbasic datacleaningtasksCan identifytrends in atime seriesdatasetHasexperiencewith cloudcomputingplatformsKnows howto importdata into aspreadsheetor databaseHasattended adata sciencemeetup orconferenceCanidentifyoutliers ina datasetHas donedataanalysisHascodedin RCan explainmachinelearningconceptsCandescribe theprocess ofhypothesistestingKnowswhat ahistogramis used forHas donedatavisualisationKnows howto create abar chart inExcelCan explainthe conceptof overfittingin machinelearningKnows howto calculatea percentagechangeHascoded inPythonHascontributed toopen-sourcedata scienceprojectsUnderstandsthe conceptof data typesPursuing adegree indata scienceor analyticsKnowswhat abox plotrepresents Has usedExcel fordataanalysisHasattended adata sciencebootcampCan explainthe differencebetweenmean andmedianCan interpreta basicregressionanalysisCancalculate asimplecorrelationcoefficientKnowswhat adict is inPythonCaninterpretA/B testresultsCan explainthe conceptof datanormalizationHas built adashboardusingTableau orPower BIHascreated abasic lineplotHas used pivottables for datasummarizationFreeHasdeployedmachinelearningmodelsHasexperiencewithpredictivemodelingKnows howto create apie chart inExcelHasexperiencewithclusteringalgorithmsHasconductedbasic datacleaningtasksCan identifytrends in atime seriesdatasetHasexperiencewith cloudcomputingplatformsKnows howto importdata into aspreadsheetor databaseHasattended adata sciencemeetup orconferenceCanidentifyoutliers ina datasetHas donedataanalysisHascodedin RCan explainmachinelearningconceptsCandescribe theprocess ofhypothesistestingKnowswhat ahistogramis used forHas donedatavisualisationKnows howto create abar chart inExcelCan explainthe conceptof overfittingin machinelearningKnows howto calculatea percentagechangeHascoded inPythonHascontributed toopen-sourcedata scienceprojectsUnderstandsthe conceptof data typesPursuing adegree indata scienceor analyticsKnowswhat abox plotrepresents Has usedExcel fordataanalysisHasattended adata sciencebootcampCan explainthe differencebetweenmean andmedianCan interpreta basicregressionanalysisCancalculate asimplecorrelationcoefficientKnowswhat adict is inPythonCaninterpretA/B testresultsCan explainthe conceptof datanormalization

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