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These kind of analytics interview questions also measure if you were successful in applying data science techniques to real life problems.
You should also mention that it was pilot tested on a subset of participants. Should you report the results from the pilot testing or formal data collection?
I think reporting PCA and CA results on the formal data is most useful.
Tweet: Data Science Interview questions and answers Consider our top 100 Data Science Interview Questions and Answers as a starting point for your data scientist interview preparation.
Even if you are not looking for a data scientist position now, as you are still working your way through hands-on projects and learning programming languages like Python and R – you can start practicing these Data Scientist Interview questions and answers.
The best possible answer for this would be Python because it has Pandas library that provides easy to use data structures and high performance data analysis tools.
3) Which technique is used to predict categorical responses?Classification technique is used widely in mining for classifying data sets.CLICK HERE to get the data scientist salary report delivered to your inbox! Or State an example when you have used logistic regression recently.A sub- field of computer science consisting of various task like planning, moving around in the world, recognizing objects and sounds, speaking, translating, performing social or business transactions, creative work..2) Python or R – Which one would you prefer for text analytics?” The response was usually a polite, “I can’t, but have you tried talking to doctor so and so, he might be able to help.” Doctor so and so couldn’t help either. Dave Collingridge is a senior research statistician for a large healthcare organization located in Utah, USA.