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Open Curriculai

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Welcome to Open Curriculai, an opinionated, constantly evolving, organized curation of top resources in the form of a curriculum and a resource hub.

The curriculum is intended to be a complete education in data science using online materials and a holistic approach to learning. The resource hub is a collection of hand-picked content organized by topic.

View the Curriculum View the Resource Hub

Target Audience

Who is this for?
  • Anyone who wants to learn data science in a self-taught way, irrespective of what their current background is. The curriculum assumes no prior knowledge of data science or coding, and only basic knowledge of high school math.

  • People seeking a career change or want to apply data science in their current role.

  • Experienced practitioners looking to learn a new specialty in machine learning, or that are in search of high-quality content.

The challenges of learning data science


  • There is a significant amount of online resources & books from which to choose from. Where do you start your learning journey? What specific content should you look at?
  • How do you know if the course/book you are about to engage in is of high quality and worth your time?
  • It is difficult to find a place that organizes material found online into a long term learning plan that covers all aspects of data science.
  • A lot of popular curriculums only suggest content from their own platforms. The truth is, the best content on each subject comes from a variety of different sources and comes in many different formats.
  • Bootcamps inaccurately make the promise that their students will get hired right after graduating. Since this is false in most cases, what steps should be taken prior and after taking a bootcamp?

Objectives of Open Curriculai


  • Inspire people who have never programmed but are interested in data science to take the leap and dive into the field.
  • Assist anyone from total beginner, to bootcamp graduate, and everyone in between, to deepen their knowledge in the field so they can get hired as a data analyst, a data scientist, or a machine learning scientist.
  • Attract experienced practitioners & teachers that are either looking for exceptional data science material or to help and mentor beginners.
  • Incentivise people to discover and work on real world practical projects they are passionate about.

For more information, make sure to read the About page.



We encourage you to contribute in any way you want

  1. ⭐ Star our GitHub repo
  2. ✍️ Contribute to the Curriculum or the Resource Hub
  3. Share the curriculum to your friends & network