In einem Vorstellungsgespräch für Datenwissenschaftler stellen Arbeitgeber wahrscheinlich Fragen zur Beurteilung Ihrer Kompetenzen in Datenmodellierung, Problemlösung und Programmierung. Bereiten Sie sich darauf vor, allgemeine Fragen zu beantworten, die Ihre Kenntnisse in Statistik und Datenwissenschaft testen sollen. Sie müssen evtl. auch offene Fragen beantworten, mit denen Ihre Kreativität, Kommunikationsfähigkeiten und Ihre Ausbildung in Datenmodellierung und Programmierung geprüft werden.
We have a table called ad_accounts(account_id, date, status). Status can be active/closed/fraud. A) what percent of active accounts are fraud? B) How many accounts became fraud today for the first time? C) What would be the financial impact of letting fraud accounts become active (how would you approach this question)?
Common statistical and python related questions. 1) How do you proof that males are on average taller than females by knowing just gender or height. 2) What is a monkey patch 3) How do you get the count of each letter in a sentence
Coding test: moving average Input 10, 20, 30, 10, ... Output: 10, 15, 20, 17.5, ...
What has the larger expected value, sampling a number between 1 and n from a uniform distribution and multiplying it by itself, or sampling two numbers and multiplying them.
A table has a column with full names(e.g. 'Tom Hardin'). write a python code to get distinct first names(i know its super easy in sql)
is technical test score necessary to crack all rounds of interview
If revenue is down 1% and time spent is up 2%, what do you infer/ decide?
We at Facebook would like to develop a way to estimate the month and day of people's birthdays, regardless of whether people give us that information directly. What methods would you propose, and data would you use, to help with that task?
Facebook sees that likes are up 10% year over year, why could this be?
Coding interview, data science challenge
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