Useful Non-Physics Courses

General useful UIUC courses:

STAT 542 -- Statistical Learning. Theory and proof of popular machine learning algorithms, with practical implementation homework. Has a useful end-of-semester project.

ECE 598 -- Computational learning and inference (topics course).

STAT 425 -- Applied Regression and Design

STAT 440 -- Statistical Data Management

STAT 448 -- Advanced Data Analysis

CS 446 -- Machine Learning

CS 512 -- Data Mining

CS 598 -- Machine Learning for Signal Processing (topics course)

Useful UIUC courses for students who need numerical methods:

CS 101 – Intro Computing: Engrg & Sci (tools course, scientific computing, C, Matlab, Unix/Linux)

CS 357 – Numerical Methods I (theoretical, Python, Mathematica, Matlab, course for large scale programming)

CS 450 – Numerical Analysis (theoretical)

CS 555 -- Numerical Methods for PDEs

Useful UIUC courses for students who need programming experience:

CS 125 – Intro to Computer Science (Java, object oriented programming)

CS 173 – Discrete Structures (prereq for CS 225)

CS 225 – Data Structures (C++, object oriented programming)

Useful on-line courses:

Udacity: “Programming Foundations with Python,” “Design of Computer Programs” These free, self-paced courses are extremely well-structured and interesting.

Code Academy: Offers programming basics for Python, Java, HTML, Ruby, etc.

Udemy: A variety of online courses, including programming with Python Free to University of Illinois students, offers online courses. Search its playlists under "developer" to find series of courses in topics such as "Learn to Program in C++," "Learn to Program in JavaScript," "Learn to Program in Python" and others.

Coursera: Offers "specializations" -- students must pay a fee to earn the specialization certificate; however you can gain the same knowledge by taking the recommended courses for free. Our own university, for example, has a specialization in Data Mining, and Johns Hopkins has one in Data Science.

Khan Academy: Useful on-line courses to brush up on Probability and Statistics, Multivariate Calculus, Linear Algebra, etc.

Structured Query Language (SQL) Tutorial for Data Analysis