Has built adashboardusingTableau orPower BICandescribe theprocess ofhypothesistestingHas used pivottables for datasummarizationCan explainthe differencebetweenmean andmedianHascontributed toopen-sourcedata scienceprojectsHascoded inPythonCancalculate asimplecorrelationcoefficientKnows howto create abar chart inExcelUnderstandsthe conceptof data typesHas donedataanalysisKnows howto importdata into aspreadsheetor databaseHasexperiencewith cloudcomputingplatformsKnowswhat abox plotrepresents Can explainthe conceptof datanormalizationCaninterpretA/B testresultsHasexperiencewithpredictivemodelingHasconductedbasic datacleaningtasksHascreated abasic lineplotHasdeployedmachinelearningmodelsCan explainthe conceptof overfittingin machinelearningHasexperiencewithclusteringalgorithmsCan interpreta basicregressionanalysisKnows howto calculatea percentagechangeKnowswhat adict is inPythonHasattended adata sciencemeetup orconferenceCanidentifyoutliers ina datasetKnows howto create apie chart inExcelPursuing adegree indata scienceor analyticsHas usedExcel fordataanalysisHascodedin RHasattended adata sciencebootcampFreeKnowswhat ahistogramis used forHas donedatavisualisationCan explainmachinelearningconceptsCan identifytrends in atime seriesdatasetHas built adashboardusingTableau orPower BICandescribe theprocess ofhypothesistestingHas used pivottables for datasummarizationCan explainthe differencebetweenmean andmedianHascontributed toopen-sourcedata scienceprojectsHascoded inPythonCancalculate asimplecorrelationcoefficientKnows howto create abar chart inExcelUnderstandsthe conceptof data typesHas donedataanalysisKnows howto importdata into aspreadsheetor databaseHasexperiencewith cloudcomputingplatformsKnowswhat abox plotrepresents Can explainthe conceptof datanormalizationCaninterpretA/B testresultsHasexperiencewithpredictivemodelingHasconductedbasic datacleaningtasksHascreated abasic lineplotHasdeployedmachinelearningmodelsCan explainthe conceptof overfittingin machinelearningHasexperiencewithclusteringalgorithmsCan interpreta basicregressionanalysisKnows howto calculatea percentagechangeKnowswhat adict is inPythonHasattended adata sciencemeetup orconferenceCanidentifyoutliers ina datasetKnows howto create apie chart inExcelPursuing adegree indata scienceor analyticsHas usedExcel fordataanalysisHascodedin RHasattended adata sciencebootcampFreeKnowswhat ahistogramis used forHas donedatavisualisationCan explainmachinelearningconceptsCan identifytrends in atime seriesdataset

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