Hascontributed toopen-sourcedata scienceprojectsHasconductedbasic datacleaningtasksHasdeployedmachinelearningmodelsKnows howto calculatea percentagechangeKnowswhat adict is inPythonHas donedataanalysisCan explainthe differencebetweenmean andmedianFreeCancalculate asimplecorrelationcoefficientHas built adashboardusingTableau orPower BIHasexperiencewithpredictivemodelingHasattended adata sciencebootcampKnows howto importdata into aspreadsheetor databaseHas usedExcel fordataanalysisKnowswhat ahistogramis used forHascoded inPythonCanidentifyoutliers ina datasetKnowswhat abox plotrepresents Understandsthe conceptof data typesPursuing adegree indata scienceor analyticsCan explainmachinelearningconceptsCan identifytrends in atime seriesdatasetCaninterpretA/B testresultsCan explainthe conceptof datanormalizationHas used pivottables for datasummarizationKnows howto create apie chart inExcelHascodedin RCandescribe theprocess ofhypothesistestingCan interpreta basicregressionanalysisHascreated abasic lineplotCan explainthe conceptof overfittingin machinelearningHasexperiencewithclusteringalgorithmsKnows howto create abar chart inExcelHas donedatavisualisationHasexperiencewith cloudcomputingplatformsHasattended adata sciencemeetup orconferenceHascontributed toopen-sourcedata scienceprojectsHasconductedbasic datacleaningtasksHasdeployedmachinelearningmodelsKnows howto calculatea percentagechangeKnowswhat adict is inPythonHas donedataanalysisCan explainthe differencebetweenmean andmedianFreeCancalculate asimplecorrelationcoefficientHas built adashboardusingTableau orPower BIHasexperiencewithpredictivemodelingHasattended adata sciencebootcampKnows howto importdata into aspreadsheetor databaseHas usedExcel fordataanalysisKnowswhat ahistogramis used forHascoded inPythonCanidentifyoutliers ina datasetKnowswhat abox plotrepresents Understandsthe conceptof data typesPursuing adegree indata scienceor analyticsCan explainmachinelearningconceptsCan identifytrends in atime seriesdatasetCaninterpretA/B testresultsCan explainthe conceptof datanormalizationHas used pivottables for datasummarizationKnows howto create apie chart inExcelHascodedin RCandescribe theprocess ofhypothesistestingCan interpreta basicregressionanalysisHascreated abasic lineplotCan explainthe conceptof overfittingin machinelearningHasexperiencewithclusteringalgorithmsKnows howto create abar chart inExcelHas donedatavisualisationHasexperiencewith cloudcomputingplatformsHasattended adata sciencemeetup orconference

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