Hasconductedbasic datacleaningtasksUnderstandsthe conceptof data typesHascreated abasic lineplotHasdeployedmachinelearningmodelsHasattended adata sciencemeetup orconferenceHas used pivottables for datasummarizationKnowswhat ahistogramis used forCan explainthe differencebetweenmean andmedianCan explainmachinelearningconceptsHas donedatavisualisationCanidentifyoutliers ina datasetCandescribe theprocess ofhypothesistestingKnows howto create apie chart inExcelHascontributed toopen-sourcedata scienceprojectsHascoded inPythonHas donedataanalysisCan identifytrends in atime seriesdatasetKnows howto calculatea percentagechangePursuing adegree indata scienceor analyticsCan interpreta basicregressionanalysisHas built adashboardusingTableau orPower BIFreeCan explainthe conceptof overfittingin machinelearningHasattended adata sciencebootcampHas usedExcel fordataanalysisHascodedin RKnows howto create abar chart inExcelKnows howto importdata into aspreadsheetor databaseHasexperiencewith cloudcomputingplatformsCaninterpretA/B testresultsHasexperiencewithclusteringalgorithmsCan explainthe conceptof datanormalizationCancalculate asimplecorrelationcoefficientHasexperiencewithpredictivemodelingKnowswhat abox plotrepresents Knowswhat adict is inPythonHasconductedbasic datacleaningtasksUnderstandsthe conceptof data typesHascreated abasic lineplotHasdeployedmachinelearningmodelsHasattended adata sciencemeetup orconferenceHas used pivottables for datasummarizationKnowswhat ahistogramis used forCan explainthe differencebetweenmean andmedianCan explainmachinelearningconceptsHas donedatavisualisationCanidentifyoutliers ina datasetCandescribe theprocess ofhypothesistestingKnows howto create apie chart inExcelHascontributed toopen-sourcedata scienceprojectsHascoded inPythonHas donedataanalysisCan identifytrends in atime seriesdatasetKnows howto calculatea percentagechangePursuing adegree indata scienceor analyticsCan interpreta basicregressionanalysisHas built adashboardusingTableau orPower BIFreeCan explainthe conceptof overfittingin machinelearningHasattended adata sciencebootcampHas usedExcel fordataanalysisHascodedin RKnows howto create abar chart inExcelKnows howto importdata into aspreadsheetor databaseHasexperiencewith cloudcomputingplatformsCaninterpretA/B testresultsHasexperiencewithclusteringalgorithmsCan explainthe conceptof datanormalizationCancalculate asimplecorrelationcoefficientHasexperiencewithpredictivemodelingKnowswhat abox plotrepresents Knowswhat adict is inPython

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