Basic probability & stats questions -- just go through the book Practical Statistics for Data Scientists & Brilliant.org and you'll be all set. But make sure to brush up on PM knowledge as well, since this seems to be what they're really looking for.
A model I am proud of implementing
Mostly it was around experience and Projects. One Python coding question
Can you explain what the pseudo-code below is trying to do? array[N] # array of N integers, indexed 0 to N-1; # assume it’s populated with [1,4,2,-2,-9,10,2,12,2,-4,-4,-4,-4,2,6,7] peak = array[0] index = 0 output = [] # array of tuples For x in 1..N-1 if (array[x]*array[x-1] > 0) if peak < 0 and array[x] < peak peak = array[x] index = x if peak >= 0 and array[x] > peak peak = array[x] index = x else output.insert( (index, peak) ) peak = array[x] index = x end if end for return output
They gave me a table with column names and I had to answer some questions using SQL queries
They asked very basic SQL questions for data wrangling. It’s not about the questions but if you can fit their Mold of thinking.
they asked me about the my general background, brief introduce about myself?
Technical interviewer based abroad asked me: Were you born and raised in the United States?
While i/v date was scheduled to match the trip from UK, no details were given until at the 11th hour. No introduction to their environment was given. How to apply Scrum in Data Science? How to revive entrepreneurship?
How would you evaluate an A/B test if the distribution of values is skewed?
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