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Data Science/Questions/Trivia 1 Flashcards

6 cards from real Data Science practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. Which Python library is primarily used for numerical computing and working with multi-dimensional arrays?

    Answer: NumPy

    NumPy (Numerical Python) is the foundational library for numerical computing in Python, providing support for large multi-dimensional arrays and matrices along with a collection of mathematical functions.

  2. What does 'NaN' stand for in data science and programming contexts?

    Answer: Not a Number

    NaN stands for 'Not a Number' and is used to represent missing, undefined, or unrepresentable numeric values in datasets and computations.

  3. In machine learning, what term describes a model that learns the training data too well, including its noise, and fails to generalize to new data?

    Answer: Overfitting

    Overfitting occurs when a model is too complex and captures noise in the training data, resulting in high accuracy on training data but poor performance on unseen test data.

  4. What type of plot uses rectangular bars whose heights represent the frequency of data falling within specified ranges?

    Answer: Histogram

    A histogram displays the distribution of a single continuous variable by dividing data into intervals (bins) and showing the count or frequency of observations in each bin.

  5. What does 'SQL' stand for in the context of database management?

    Answer: Structured Query Language

    SQL stands for Structured Query Language, the standard language used to communicate with and manipulate relational databases — a core skill in data science for retrieving and transforming data.

  6. Which measure of central tendency is most heavily influenced by extreme outlier values in a dataset?

    Answer: Mean

    The mean (average) is calculated by summing all values and dividing by the count, so a single extreme outlier can pull the mean significantly in one direction, unlike the median or mode.