Has built adashboardusingTableau orPower BIHascoded inPythonKnows howto create apie chart inExcelFreeHasexperiencewithclusteringalgorithmsCancalculate asimplecorrelationcoefficientHas used pivottables for datasummarizationKnows howto create abar chart inExcelKnowswhat abox plotrepresents Hasexperiencewith cloudcomputingplatformsKnowswhat adict is inPythonCan explainthe conceptof overfittingin machinelearningKnows howto importdata into aspreadsheetor databaseHasconductedbasic datacleaningtasksCan explainthe conceptof datanormalizationHascontributed toopen-sourcedata scienceprojectsCanidentifyoutliers ina datasetCandescribe theprocess ofhypothesistestingPursuing adegree indata scienceor analyticsKnows howto calculatea percentagechangeCan explainmachinelearningconceptsHasattended adata sciencemeetup orconferenceCan interpreta basicregressionanalysisKnowswhat ahistogramis used forCan identifytrends in atime seriesdatasetHas usedExcel fordataanalysisHascreated abasic lineplotUnderstandsthe conceptof data typesHascodedin RHas donedatavisualisationCaninterpretA/B testresultsHas donedataanalysisCan explainthe differencebetweenmean andmedianHasexperiencewithpredictivemodelingHasdeployedmachinelearningmodelsHasattended adata sciencebootcampHas built adashboardusingTableau orPower BIHascoded inPythonKnows howto create apie chart inExcelFreeHasexperiencewithclusteringalgorithmsCancalculate asimplecorrelationcoefficientHas used pivottables for datasummarizationKnows howto create abar chart inExcelKnowswhat abox plotrepresents Hasexperiencewith cloudcomputingplatformsKnowswhat adict is inPythonCan explainthe conceptof overfittingin machinelearningKnows howto importdata into aspreadsheetor databaseHasconductedbasic datacleaningtasksCan explainthe conceptof datanormalizationHascontributed toopen-sourcedata scienceprojectsCanidentifyoutliers ina datasetCandescribe theprocess ofhypothesistestingPursuing adegree indata scienceor analyticsKnows howto calculatea percentagechangeCan explainmachinelearningconceptsHasattended adata sciencemeetup orconferenceCan interpreta basicregressionanalysisKnowswhat ahistogramis used forCan identifytrends in atime seriesdatasetHas usedExcel fordataanalysisHascreated abasic lineplotUnderstandsthe conceptof data typesHascodedin RHas donedatavisualisationCaninterpretA/B testresultsHas donedataanalysisCan explainthe differencebetweenmean andmedianHasexperiencewithpredictivemodelingHasdeployedmachinelearningmodelsHasattended adata sciencebootcamp

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