Hasattended adata sciencebootcampPursuing adegree indata scienceor analyticsHas built adashboardusingTableau orPower BICan interpreta basicregressionanalysisHasattended adata sciencemeetup orconferenceKnowswhat adict is inPythonKnowswhat ahistogramis used forHascodedin RCanidentifyoutliers ina datasetKnowswhat abox plotrepresents Hasconductedbasic datacleaningtasksHas donedatavisualisationHas usedExcel fordataanalysisHascoded inPythonUnderstandsthe conceptof data typesHascreated abasic lineplotCan explainthe conceptof overfittingin machinelearningHasexperiencewith cloudcomputingplatformsHasexperiencewithclusteringalgorithmsHascontributed toopen-sourcedata scienceprojectsCancalculate asimplecorrelationcoefficientHasexperiencewithpredictivemodelingFreeKnows howto calculatea percentagechangeCandescribe theprocess ofhypothesistestingCan explainmachinelearningconceptsCan identifytrends in atime seriesdatasetHasdeployedmachinelearningmodelsHas used pivottables for datasummarizationCan explainthe differencebetweenmean andmedianKnows howto importdata into aspreadsheetor databaseKnows howto create abar chart inExcelCan explainthe conceptof datanormalizationKnows howto create apie chart inExcelCaninterpretA/B testresultsHas donedataanalysisHasattended adata sciencebootcampPursuing adegree indata scienceor analyticsHas built adashboardusingTableau orPower BICan interpreta basicregressionanalysisHasattended adata sciencemeetup orconferenceKnowswhat adict is inPythonKnowswhat ahistogramis used forHascodedin RCanidentifyoutliers ina datasetKnowswhat abox plotrepresents Hasconductedbasic datacleaningtasksHas donedatavisualisationHas usedExcel fordataanalysisHascoded inPythonUnderstandsthe conceptof data typesHascreated abasic lineplotCan explainthe conceptof overfittingin machinelearningHasexperiencewith cloudcomputingplatformsHasexperiencewithclusteringalgorithmsHascontributed toopen-sourcedata scienceprojectsCancalculate asimplecorrelationcoefficientHasexperiencewithpredictivemodelingFreeKnows howto calculatea percentagechangeCandescribe theprocess ofhypothesistestingCan explainmachinelearningconceptsCan identifytrends in atime seriesdatasetHasdeployedmachinelearningmodelsHas used pivottables for datasummarizationCan explainthe differencebetweenmean andmedianKnows howto importdata into aspreadsheetor databaseKnows howto create abar chart inExcelCan explainthe conceptof datanormalizationKnows howto create apie chart inExcelCaninterpretA/B testresultsHas donedataanalysis

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