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Data Science · all questions

Introduction to Data Science
practice.

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Which library in Python is commonly used for data manipulation and analysis in Data Science?

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What is the term for the process of cleaning and organizing data into a structured format suitable for analysis?

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In Data Science, what is the primary purpose of data visualization?

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Which step in the Data Science process involves assessing the quality of collected data?

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Which of the following is a common technique used to handle imbalanced datasets in classification problems?

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What type of data analysis focuses on understanding the relationships and patterns within a dataset?

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Which of the following is NOT a key role in a typical Data Science team?

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What is the process of converting categorical variables into numerical values for machine learning called?

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Which of the following is NOT a common data visualization tool or library used in Data Science?

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In Data Science, what is the term for the process of reducing the dimensionality of a dataset while preserving information?

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What is the term for the process of removing or reducing noise and inconsistencies from data?

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Which of the following best describes the purpose of data sampling in Data Science?

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Which statistical measure represents the spread or dispersion of data values in a dataset?

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In Data Science, what is the term for a data point that is missing a value for one or more features?

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What is the primary objective of data exploration in Data Science?

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Which type of data is represented by categories or labels and cannot be measured numerically?

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In Data Science, what is the purpose of data wrangling?

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What is the process of splitting a dataset into a training set and a test set used for machine learning called?

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Which of the following is a common algorithm used for classification in supervised learning?

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What does the acronym "SQL" stand for in the context of Data Science?

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