data-science

The Open Source Society University Data Science repository is a curated study path that walks you through the equivalent of an undergraduate data-science degree for free, using open courses from well-known universities and online platforms. It is not software you install or run; it is a structured reading list. The maintainers gather the best Massive Open Online Courses they can find, order them, and present the result as a curriculum you can follow on your own time. The structure follows the kind of progression a real degree would: an introduction to data science, an introduction to computer science and programming, then data structures and algorithms, databases, single-variable, linear-algebra and multivariable calculus, statistics and probability, data-science tools and methods, machine learning and data mining, and finally a project. The README explains how to use it: you can finish in about two years studying roughly twenty hours a week, you fork the repository on GitHub and tick items off as you go to track your progress, and a spreadsheet is provided so you can estimate your end date based on your own pace. The curriculum recommends that students already have high-school math and basic statistics before starting, and notes that Python and R are the two main programming languages used along the way, with Java introduced for the algorithms section. The project follows a published report titled "Curriculum Guidelines for Undergraduate Programs in Data Science" as its guide for choosing courses. Someone would use this if they want a serious self-taught path into data science without paying for a degree, and prefer a roadmap to chasing random tutorials. There is a Discord server and GitHub issues for talking with other learners.