MIA Interview Questions

  • Tell us about your current work experience.
  • Why do you want to do a Masters in Analytics?
  • Have you applied to other programs?
  • What are your short term as well as long term career goals.
  • Tell me about a project or an experience or something of that sort which you built from scratch, or something you really contributed to.
  • Where do you think the Analytics & Big data industry is heading in 5 years?
  • What does “Data Cleansing” mean? What are the best ways to practice this?
  • What is the difference between data profiling and data mining?
  • What is KNN imputation method?
  • What should a data analyst do with missing or suspected data?
  • Name the different data validation methods used by data analysts.
  • What is “Clustering?” Name the properties of clustering algorithms.
  •  Define “Collaborative Filtering”.
  • What are the characteristics of a good data model?
  • Explain the difference between R-Squared and Adjusted R-Squared.
  • What are the advantages of version control?



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