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Data Science

About this series

This series introduces data science to those just starting out. In Part 1, you will learn the basics of machine learning, including data engineering, model learning, and operations. Part 2 explores two machine learning models for prediction using public data sets: probabilistic neural networks and density-based clustering. In Part 3, you will discover applications for simple, Python-based text analytics, including Markov chains and sentiment analysis. The series ends by introducing the languages developed and most commonly used for data science programming and applications, including C, Python, and Fortran.

  • Article
    Data, structure, and the data science pipeline

    Data is meaningless if you can''t process it to gain insights. The field of data science gives you the tools…

  • Tutorial
    Data and prediction through classification

    Prediction and classification are two important aspects of machine learning that have a multitude of applications. In this second tutorial…

  • Tutorial
    Text analytics

    In this third tutorial in this series, discover applications for simple Python-based text analytics, including Markov chains and sentiment analysis.

  • Tutorial
    The languages of data science

    Discover the languages developed and most commonly used for data science programming and applications, including C, Python, and Fortran.