In this data science tutorial we define data science with a skills triangle and cover factors for successfully learning to code the full stack, plus your instructor's background and programming prerequisites. Find all of the code for this video here: https://factorpad.com/tech/full-stack/what-is-data-science.html This tutorial defines the success factors for data science and provides prerequisites from a unique perspective summarized in a short nano exercise. Also included are links to third party definitions and the view of our stack which includes: Debian Linux, MySQL, PostgreSQL, Python for data analysis (Pandas, NumPy, SciPy) and presentation tools for the user experience such as Matplotlib, HTML, CSS and JavaScript. Links mentioned in this video: https://www.wikipedia.org/wiki/Data_science http://www.datascienceassn.org/about-data-science For help on this playlist see: https://factorpad.com/tech/full-stack/index.html For more educational resources see: https://factorpad.com/ Don't lose this valuable resource, subscribe today.