Data Science

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About this learning path

Data Science

interdisciplinary field of scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining

It comes from

  • ↑ Data Analysis
  • includes the learning paths

  • - Python
  • - SQL
  • - Data Visualization
  • - Machine Learning
  • and can be deepened into

    Web resources
    Start immediately and learn at your own pace.

    Flexible schedule
    Set and adhere to flexible deadlines.

    Approx. 4 months to complete
    Recommended 12 hours/week

    Mostly English


    There is no curator for
    Data Science yet!

    This How it Works

    You go station by station. In each station you'll find resources containing:

    1. Information

    2. Educational content

    3. Places to exchange infos

    4. Applications, Tools

    ( 5. Entertaining content )

    After studying a resource, you check it.

    Between stations, sometimes there are learning paths. They need to be studied as well as they pose a qualification for upcoming content. After station 1, the learning path for Python needs to be studied.
    After station 2, the learning path for SQL needs to be studied.
    After station 3, the learning path for Data Visualization needs to be studied.
    After station 4, the learning path for Machine Learning needs to be studied.

    Learning Path




    Popular Machine Learning Algorithms Used in Data Science Video


    50 Years Data Science


    Data pre-processing




    Chris Albon


    Python Data Science Handbook E-Book




    Toward Data Science articles


    Dataquest Online Courses


    Data Science Stack Exchange Forum




    Dataiku Web Application


    An Introduction to Statistical Learning Book


    Data Mining Concepts and Techniques Non-fictional


    Konwledge Discovery in Databases Techniken und Anwendungen Non-fictional


    Kaggle Platform