The Plan of Attack
Check out this blog post for detailed rationale about my curriculum choices.
TL;DR: A bridging module for computer science literacy, Udacity's Data Analyst Nanodegree for the data science fundamentals, compilations of the best Machine Learning, Software Engineering, and Back End Development courses, plus additional resources to fill in the gaps.
Note: if you're looking for an online data science curriculum to follow, the link below contains my most up-to-date recommendations. I started creating this project midway through my personal data science master’s.
Bridging key knowledge gaps. Programming, computer science, and discrete mathematics are often covered in the two years of an undergraduate computer science program.
data science Core
Listed below are the individual courses contained within the Nanodegree:
Learning from data.
Back End Development
Storing and manipulating data.
Filling in the gaps. Suggestions welcome!
from Chemical Engineering
My engineering background gives me a solid foundation in mathematics and statistics. These are a mix of first, second, and fourth year courses that are often covered in undergraduate computer science, mathematics, and statistics programs.