Pursuing adegree indata scienceor analyticsHasdeployedmachinelearningmodelsKnowswhat abox plotrepresents Has donedatavisualisationHas usedExcel fordataanalysisKnows howto create abar chart inExcelKnows howto importdata into aspreadsheetor databaseFreeCan explainthe conceptof overfittingin machinelearningCanidentifyoutliers ina datasetCandescribe theprocess ofhypothesistestingHasexperiencewithclusteringalgorithmsHas used pivottables for datasummarizationCancalculate asimplecorrelationcoefficientKnows howto create apie chart inExcelCaninterpretA/B testresultsCan identifytrends in atime seriesdatasetHasattended adata sciencemeetup orconferenceCan interpreta basicregressionanalysisHasconductedbasic datacleaningtasksHasexperiencewithpredictivemodelingHascodedin RKnowswhat adict is inPythonKnows howto calculatea percentagechangeHascoded inPythonKnowswhat ahistogramis used forHasattended adata sciencebootcampHas built adashboardusingTableau orPower BICan explainthe differencebetweenmean andmedianCan explainthe conceptof datanormalizationHascreated abasic lineplotHas donedataanalysisHascontributed toopen-sourcedata scienceprojectsCan explainmachinelearningconceptsUnderstandsthe conceptof data typesHasexperiencewith cloudcomputingplatformsPursuing adegree indata scienceor analyticsHasdeployedmachinelearningmodelsKnowswhat abox plotrepresents Has donedatavisualisationHas usedExcel fordataanalysisKnows howto create abar chart inExcelKnows howto importdata into aspreadsheetor databaseFreeCan explainthe conceptof overfittingin machinelearningCanidentifyoutliers ina datasetCandescribe theprocess ofhypothesistestingHasexperiencewithclusteringalgorithmsHas used pivottables for datasummarizationCancalculate asimplecorrelationcoefficientKnows howto create apie chart inExcelCaninterpretA/B testresultsCan identifytrends in atime seriesdatasetHasattended adata sciencemeetup orconferenceCan interpreta basicregressionanalysisHasconductedbasic datacleaningtasksHasexperiencewithpredictivemodelingHascodedin RKnowswhat adict is inPythonKnows howto calculatea percentagechangeHascoded inPythonKnowswhat ahistogramis used forHasattended adata sciencebootcampHas built adashboardusingTableau orPower BICan explainthe differencebetweenmean andmedianCan explainthe conceptof datanormalizationHascreated abasic lineplotHas donedataanalysisHascontributed toopen-sourcedata scienceprojectsCan explainmachinelearningconceptsUnderstandsthe conceptof data typesHasexperiencewith cloudcomputingplatforms

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