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# 100+ Data Science Interview Questions and Answers!

0.70MB. 0 audio & 51 images. Updated 2020-05-16.
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## Description

All questions & answers from the popular Medium post "OVER 100 Data Scientist Interview Questions and Answers!" by Terence S. The questions are from companies like Amazon, Google, Facebook, Microsoft, and more to prepare you for your next Data Science interview. The deck is well divided into appropriate subdecks:
• Machine Learning Fundamentals
• Miscellaneous
• SQL Practice Problems
• Statistics, Probability and Math
Each note is appropriately formatted to ease the readability (text with images are adjusted, and SQL code syntax is highlighted). ------------------------------------------------------- >More decks by pyXelr<

## Sample (from 90 notes)

Cards are customizable! When this deck is imported into the desktop program, cards will appear as the deck author has made them. If you'd like to customize what appears on the front and back of a card, you can do so by clicking the Edit button, and then clicking the Cards button.
 Front (Question) What is the statistical power? Back (Answer) ‘Statistical power’ refers to the power of a binary hypothesis, which is the probability that the test rejects the null hypothesis given that the alternative hypothesis is true. [2] Back (Optional description) [2] Power, Statistics, Wikipedia Tags data_science statistics
 Front (Question) You are at a Casino and have two dices to play with. You win \$10 every time you roll a 5. If you play till you win and then stop, what is the expected payout? Back (Answer) Let’s assume that it costs \$5 every time you want to play.There are 36 possible combinations with two dice.Of the 36 combinations, there are 4 combinations that result in rolling a five (see blue). This means that there is a 4/36 or 1/9 chance of rolling a 5.A 1/9 chance of winning means you’ll lose eight times and win once (theoretically).Therefore, your expected payout is equal to \$10.00 * 1 — \$5.00 * 9= -\$35.00. Back (Optional description) Tags data_science statistics
 Front (Question) How do you calculate the needed sample size? Back (Answer) You can use the margin of error (ME) formula to determine the desired sample size.t/z = t/z score used to calculate the confidence intervalME = the desired margin of errorS = sample standard deviation Back (Optional description) Tags data_science statistics

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