Courses

Statistics & Probability

• ECON 202 – Economic Statistics I
• STAT 385 – Statistics Programming Methods
• STAT 410 – Statistics and Probability II
• STAT 425 – Statistical Modeling I
• STAT 426 – Statistical Modeling II
• STAT 440 – Statistical Data Management
• STAT 441 – Practice of Applied Statistics
• MATH 463 – Statistics and Probability I

Machine Learning & Statistical Learning

• STAT 431 – Applied Bayesian Analysis
• STAT 432 – Basics of Statistical Learning
• STAT 437 – Unsupervised Learning

Mathematics

• MATH 220 – Calculus
• MATH 225 – Introductory Matrix Theory
• MATH 231 – Calculus II
• MATH 241 – Calculus III
• MATH 257 – Linear Algebra with Computational Applications
• MATH 284 – Introduction to Differential Systems

Computer Science

• CS 107 – Data Science Discovery
• CS 124 – Introduction to Computer Science I
• CS 128 – Introduction to Computer Science II
• CS 173 – Discrete Structures
• CS 225 – Data Structures