Data Science Fundamentals
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Questions and Answers

What is the primary use of data science?

  • Creating artistic paintings
  • Developing video games
  • Extracting knowledge and insights from data (correct)
  • Composing music

    • Which of the following programming languages is most commonly used in data science?

  • Python (correct)
  • PHP
  • JavaScript
  • C++

    • What are the characteristics of 'Big Data'?

  • Speed of data processing
  • Only the size of the data
  • Data privacy issues
  • Volume, Variety, and Velocity (correct)

    • What is the primary use of the Tableau tool?

    <p>Data visualization</p> Signup and view all the answers

    What is clustering in data science?

    <p>Grouping similar data points together</p> Signup and view all the answers

    What is overfitting in machine learning?

    <p>When a model performs well on training data but poorly on unseen data</p> Signup and view all the answers

    What is the primary use of Neural Networks in data science?

    <p>Algorithms modeled after the human brain</p> Signup and view all the answers

    What is the primary use of the pandas library in Python?

    <p>Data manipulation and analysis</p> Signup and view all the answers

    What is the primary goal of using a scatter plot in data science?

    <p>To show correlations between two variables</p> Signup and view all the answers

    What type of model is a decision tree primarily used for?

    <p>Predictive modeling</p> Signup and view all the answers

    What is the main purpose of A/B testing in data science?

    <p>To compare different models or approaches</p> Signup and view all the answers

    Which SQL command is used to retrieve specific data from a database?

    <p>SELECT</p> Signup and view all the answers

    What is a feature in a machine learning context?

    <p>An attribute used as input for a model</p> Signup and view all the answers

    What is the purpose of the train-test split in machine learning?

    <p>To prevent overfitting by using separate data for training and testing a model</p> Signup and view all the answers

    What is the primary purpose of principal component analysis (PCA) in data science?

    <p>Data reduction</p> Signup and view all the answers

    What is data wrangling primarily used for?

    <p>The process of cleaning and unifying messy and complex data sets for easy access and analysis</p> Signup and view all the answers

    Study Notes

    Data Science Fundamentals

    • Data Science is primarily used for extracting knowledge and insights from data.
    • Python is the most commonly used programming language in data science.

    Big Data and Data Visualization

    • Big Data is characterized by Volume, Variety, and Velocity.
    • Tableau is a popular tool for data visualization.

    Machine Learning

    • Clustering is a method used for finding groups in data.
    • Overfitting occurs when a model performs well on training data but poorly on unseen data.
    • Supervised, Unsupervised, and Semi-supervised learning are types of machine learning, while Over-learning is not a type of machine learning.
    • Neural Networks refer to algorithms modeled after the human brain.
    • A decision tree is a type of Predictive model.

    Python Libraries

    • NumPy is a commonly used library for scientific computing in Python.
    • The pandas library is used for data manipulation and analysis.

    Data Analysis and Visualization

    • A scatter plot is used to show correlations between two variables.
    • A/B testing is used to compare different models or approaches.

    SQL and Data Management

    • The SQL command SELECT is used to retrieve data from a database.

    Machine Learning Concepts

    • A feature in a machine learning context refers to an attribute used as input for a model.
    • The 'train-test split' is used to prevent overfitting by using separate data for training and testing a model.
    • Principal component analysis (PCA) is used for data reduction.

    Machine Learning Tasks

    • Regression is an example of a supervised learning task.
    • Data wrangling refers to the process of cleaning and unifying messy and complex data sets for easy access and analysis.

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    Test your knowledge of data science concepts, including its primary use and programming languages used in the field.

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