HasexperiencewithpredictivemodelingUnderstandsthe conceptof data typesHas usedExcel fordataanalysisHas used pivottables for datasummarizationHascontributed toopen-sourcedata scienceprojectsCandescribe theprocess ofhypothesistestingCanidentifyoutliers ina datasetKnowswhat ahistogramis used forKnowswhat adict is inPythonHasattended adata sciencemeetup orconferenceHasdeployedmachinelearningmodelsHasconductedbasic datacleaningtasksCan identifytrends in atime seriesdatasetCan explainthe conceptof overfittingin machinelearningHas donedataanalysisKnowswhat abox plotrepresents Can explainthe differencebetweenmean andmedianHascreated abasic lineplotKnows howto create apie chart inExcelCaninterpretA/B testresultsCan explainthe conceptof datanormalizationKnows howto create abar chart inExcelHasattended adata sciencebootcampFreeHasexperiencewith cloudcomputingplatformsHascodedin RPursuing adegree indata scienceor analyticsCan interpreta basicregressionanalysisHas built adashboardusingTableau orPower BICan explainmachinelearningconceptsKnows howto calculatea percentagechangeKnows howto importdata into aspreadsheetor databaseHascoded inPythonHasexperiencewithclusteringalgorithmsHas donedatavisualisationCancalculate asimplecorrelationcoefficientHasexperiencewithpredictivemodelingUnderstandsthe conceptof data typesHas usedExcel fordataanalysisHas used pivottables for datasummarizationHascontributed toopen-sourcedata scienceprojectsCandescribe theprocess ofhypothesistestingCanidentifyoutliers ina datasetKnowswhat ahistogramis used forKnowswhat adict is inPythonHasattended adata sciencemeetup orconferenceHasdeployedmachinelearningmodelsHasconductedbasic datacleaningtasksCan identifytrends in atime seriesdatasetCan explainthe conceptof overfittingin machinelearningHas donedataanalysisKnowswhat abox plotrepresents Can explainthe differencebetweenmean andmedianHascreated abasic lineplotKnows howto create apie chart inExcelCaninterpretA/B testresultsCan explainthe conceptof datanormalizationKnows howto create abar chart inExcelHasattended adata sciencebootcampFreeHasexperiencewith cloudcomputingplatformsHascodedin RPursuing adegree indata scienceor analyticsCan interpreta basicregressionanalysisHas built adashboardusingTableau orPower BICan explainmachinelearningconceptsKnows howto calculatea percentagechangeKnows howto importdata into aspreadsheetor databaseHascoded inPythonHasexperiencewithclusteringalgorithmsHas donedatavisualisationCancalculate asimplecorrelationcoefficient

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.


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
  1. Has experience with predictive modeling
  2. Understands the concept of data types
  3. Has used Excel for data analysis
  4. Has used pivot tables for data summarization
  5. Has contributed to open-source data science projects
  6. Can describe the process of hypothesis testing
  7. Can identify outliers in a dataset
  8. Knows what a histogram is used for
  9. Knows what a dict is in Python
  10. Has attended a data science meetup or conference
  11. Has deployed machine learning models
  12. Has conducted basic data cleaning tasks
  13. Can identify trends in a time series dataset
  14. Can explain the concept of overfitting in machine learning
  15. Has done data analysis
  16. Knows what a box plot represents
  17. Can explain the difference between mean and median
  18. Has created a basic line plot
  19. Knows how to create a pie chart in Excel
  20. Can interpret A/B test results
  21. Can explain the concept of data normalization
  22. Knows how to create a bar chart in Excel
  23. Has attended a data science bootcamp
  24. Free
  25. Has experience with cloud computing platforms
  26. Has coded in R
  27. Pursuing a degree in data science or analytics
  28. Can interpret a basic regression analysis
  29. Has built a dashboard using Tableau or Power BI
  30. Can explain machine learning concepts
  31. Knows how to calculate a percentage change
  32. Knows how to import data into a spreadsheet or database
  33. Has coded in Python
  34. Has experience with clustering algorithms
  35. Has done data visualisation
  36. Can calculate a simple correlation coefficient