Introduction to Data Science



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    Introduction to Data Science

    Post  wskins on Tue Sep 13, 2016 8:20 pm

    Lynda - Introduction to Data Science
    Size: 468 MB | Duration: 3h 6m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
    Genre: eLearning | Level: Beginner | Language: English
    Introduction to Data Science provides a comprehensive overview of modern data science: the practice of obtaining, exploring, modeling, and interpreting data. While most only think of the "big subject," big data, there are many more fields and concepts to explore. Here Barton Poulson explores disciplines such as programming, statistics, mathematics, machine learning, data analysis, visualization, and (yes) big data. He explains why data scientists are now in such demand, and the skills required to succeed in different jobs. He shows how to obtain data from legitimate open-source repositories via web APIs and page scraping, and introduces specific technologies (R, Python, and SQL) and techniques (support vector machines and random forests) for analysis. By the end of the course, you should better understand data science's role in making meaningful insights from the complex and large sets of data all around us.

    Topics include:
    The demand for data science
    Roles and careers
    Ethical issues in data science
    Sourcing data
    Exploring data through graphs and statistics
    Programming with R, Python, and SQL
    Data science in math and statistics
    Data science and machine learning
    Communicating with data
    Title: Introduction to Data Science
    Size: 420.96 MB | Format: rar

      Current date/time is Mon Jan 23, 2017 11:01 pm