Hasconductedbasic datacleaningtasksCan explainthe differencebetweenmean andmedianKnows howto importdata into aspreadsheetor databaseHasexperiencewith cloudcomputingplatformsCancalculate asimplecorrelationcoefficientKnows howto create apie chart inExcelKnows howto calculatea percentagechangePursuing adegree indata scienceor analyticsHasexperiencewithpredictivemodelingHasdeployedmachinelearningmodelsKnows howto create abar chart inExcelCan explainthe conceptof datanormalizationCan explainthe conceptof overfittingin machinelearningHas donedataanalysisHas used pivottables for datasummarizationHascreated abasic lineplotUnderstandsthe conceptof data typesHasattended adata sciencebootcampHascodedin RCandescribe theprocess ofhypothesistestingCan explainmachinelearningconceptsCaninterpretA/B testresultsHasexperiencewithclusteringalgorithmsHas usedExcel fordataanalysisHas built adashboardusingTableau orPower BICan identifytrends in atime seriesdatasetKnowswhat adict is inPythonKnowswhat abox plotrepresents Can interpreta basicregressionanalysisKnowswhat ahistogramis used forCanidentifyoutliers ina datasetHasattended adata sciencemeetup orconferenceFreeHas donedatavisualisationHascontributed toopen-sourcedata scienceprojectsHascoded inPythonHasconductedbasic datacleaningtasksCan explainthe differencebetweenmean andmedianKnows howto importdata into aspreadsheetor databaseHasexperiencewith cloudcomputingplatformsCancalculate asimplecorrelationcoefficientKnows howto create apie chart inExcelKnows howto calculatea percentagechangePursuing adegree indata scienceor analyticsHasexperiencewithpredictivemodelingHasdeployedmachinelearningmodelsKnows howto create abar chart inExcelCan explainthe conceptof datanormalizationCan explainthe conceptof overfittingin machinelearningHas donedataanalysisHas used pivottables for datasummarizationHascreated abasic lineplotUnderstandsthe conceptof data typesHasattended adata sciencebootcampHascodedin RCandescribe theprocess ofhypothesistestingCan explainmachinelearningconceptsCaninterpretA/B testresultsHasexperiencewithclusteringalgorithmsHas usedExcel fordataanalysisHas built adashboardusingTableau orPower BICan identifytrends in atime seriesdatasetKnowswhat adict is inPythonKnowswhat abox plotrepresents Can interpreta basicregressionanalysisKnowswhat ahistogramis used forCanidentifyoutliers ina datasetHasattended adata sciencemeetup orconferenceFreeHas donedatavisualisationHascontributed toopen-sourcedata scienceprojectsHascoded 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. Can explain the difference between mean and median
  3. Knows how to import data into a spreadsheet or database
  4. Has experience with cloud computing platforms
  5. Can calculate a simple correlation coefficient
  6. Knows how to create a pie chart in Excel
  7. Knows how to calculate a percentage change
  8. Pursuing a degree in data science or analytics
  9. Has experience with predictive modeling
  10. Has deployed machine learning models
  11. Knows how to create a bar chart in Excel
  12. Can explain the concept of data normalization
  13. Can explain the concept of overfitting in machine learning
  14. Has done data analysis
  15. Has used pivot tables for data summarization
  16. Has created a basic line plot
  17. Understands the concept of data types
  18. Has attended a data science bootcamp
  19. Has coded in R
  20. Can describe the process of hypothesis testing
  21. Can explain machine learning concepts
  22. Can interpret A/B test results
  23. Has experience with clustering algorithms
  24. Has used Excel for data analysis
  25. Has built a dashboard using Tableau or Power BI
  26. Can identify trends in a time series dataset
  27. Knows what a dict is in Python
  28. Knows what a box plot represents
  29. Can interpret a basic regression analysis
  30. Knows what a histogram is used for
  31. Can identify outliers in a dataset
  32. Has attended a data science meetup or conference
  33. Free
  34. Has done data visualisation
  35. Has contributed to open-source data science projects
  36. Has coded in Python