https://ryanorban.com/categories/self-taught/Recent content in Self-Taught on Ryan OrbanHugoen-usme@ryanorban.com (Ryan Orban)me@ryanorban.com (Ryan Orban)Ryan OrbanFri, 08 Jan 2021 00:00:00 +0000https://ryanorban.com/notes/ossu-data-science/Fri, 08 Jan 2021 00:00:00 +0000me@ryanorban.com (Ryan Orban)https://ryanorban.com/notes/ossu-data-science/<h3 id="summary" class="scroll-mt-8 group"> Summary <a href="#summary" class="no-underline hidden opacity-50 hover:opacity-100 !text-inherit group-hover:inline-block" aria-hidden="true" title="Link to this heading" tabindex="-1"> <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" class="lucide lucide-link w-4 h-4 block" viewBox="0 0 24 24" > <path d="M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71" /> <path d="M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71" /> </svg> </a> </h3> <p>Open Source Society University (OSSU) Data Science is a structured, free curriculum for self-taught data science, organized to approximate the depth of a university degree without the cost. It sequences coursework from mathematical prerequisites (linear algebra, calculus, statistics, probability) through programming foundations (Python, SQL) to core machine learning and domain specializations. Each section links to specific courses — primarily from Coursera, edX, and free university course sites.</p>