A set of values given: Assume table in SQL or list of dictionaries if using Python. Basically a row of data contained information: if it is post or it is a comment, row id and some other data. Find distribution of comments. #comments # posts 1 5000 2 6787 .. ..
How would you measure the health of Mentions, Facebook's app for celebrities? How can FB determine if it's worth it to keep using it? If a celebrity starts to use Mentions and begins interacting with their fans more, what part of the increase can be attributed to a celebrity using Mentions, and what part is just a celebrity wanting to get more involved in fan engagement?
how did you analyze data? Who uses your data analysis results? how large is the data set you work with? sql question one: the first table is customer purchase table, with five columns, customer id, purchase date, product id, unit price, unit purchased, write queries to retrieve data with unique customer id that made over $100 purchase in the past seven days. sql question two: a second table is the customer details table, with two columns, customer id, registration date, write queries to retrieve data with unique customer id that made over $100 purchase who registered in the past ten days. probability question: what is the probability of generating ten consecutive numbers in ascending order out of 100 numbers? this is a random number generation question.
Tell me about a time when you couldn't meet a deadline?
How would you test if survey responses were filled at random by certain individuals, as opposed to truthful selections?
There are 6 marbles in a bag - 1 is white. You reach in the bag 100 times. After drawing a marble, it is placed back in the bag. What is the probability of drawing the white marble at least once?
I was aske to specify as many ways to return the rowcount in the table.
Can you explain how this algorithm works? Estimate the cross-sell potential for this client. Take me through one of your projects.
1st round technical round. They will ask about demographic tools, SQL and python few questions. 1:3 interview process?
very easy questions and took very less time
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