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?