Differences between Skill paths and Career paths

  • Last updated on July 7, 2023 at 8:15 PM

Skill paths are skill-focused paths that were designed to help you learn concrete, real-world data skills as quickly as possible. Skill paths are best for those who

  • already know what they want to learn
  • want to level up, build, or broaden their data skills
  • are preparing for a future that may involve working with data

In short, going through our Skill paths would be most beneficial if you already have some experience and want to level up your skills quickly.

Learn more about our Skill paths here.


Career paths are thorough, complete pieces of content designed to help you start your career in Data Science from scratch! Career paths are best for those who

  • want to begin a new career as a data professional
  • are complete beginners in Data Science
  • need a more hands-on approach to learning

In short, if you're looking to start a career choosing a Career path would be most beneficial.

Learn more about our Career paths here.