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Data Science Quizzes & Trivia

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Data science deals with processes and systems, which are used to extract knowledge or insights from large amounts of data. Data extracted can be either structured or unstructured and can be used to form conclusions. Test out...

Questions: 25  |  Attempts: 3889   |  Last updated: Jul 3, 2020
  • Sample Question
    Which of the following model is usually gold standard for data analysis?



Questions: 14  |  Attempts: 794   |  Last updated: Jun 19, 2018
  • Sample Question
    Data has been collected on visitors' viewing habits at a bank's website. Which technique is used to identify pages commonly viewed during the same visit to the website?

It falls under the fold of computer science and it is broad enough to even be a standalone. So, what's up with it? How well do you think you'll perform if you were tested on it.

Questions: 10  |  Attempts: 253   |  Last updated: Mar 21, 2018
  • Sample Question
    What's another name for data science?



Questions: 20  |  Attempts: 182   |  Last updated: Aug 1, 2019
  • Sample Question
    Which of the following would be more appropriate to be replaced with question mark in the following figure ?

Wondering whether you should use R or Python? Here we help you decide by first analyzing your truly needs.

Questions: 14  |  Attempts: 90   |  Last updated: Jun 10, 2019
  • Sample Question
    Purpose
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Data Science Questions & Answers


How long is data science course?
The answer to this is letter A. The information that can be found in the data warehouse is already too processed. There is a possibility that other details that could have been found raw and will provide better details for the whole task can be very
How would you define random variable in data science?
In an equation, you may see the letter x. This represents a random variable. This variable is one in which there are any amount of values that are possible to resolve the x. There are two types of random variables. The first is a random variable that
Who is a data scientist?
All of the above
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