核心课程：
- STAT 350-0 Regression Analysis
- STAT 353-0 Advanced Regression
- STAT 415-0 Introduction to Machine Learning
- STAT 420-1,2,3 Introduction to Statistical Theory and Methodology 1, 2, 3
完整课程列表：
STAT 301-1, 2, 3 Data Science with R Sequence (UG/G)
STAT 302 Data Visualization (UG/G)
STAT 303-1,2,3 Data Science with Python Sequence (UG/G)
STAT 304-0 Data Structures and Algorithms for Data Science (UG)
STAT 305-0 Information Management for Data Science (UG)
STAT 320-1, 2, 3 Statistical Theory and Methods Series (UG/G)
STAT 325 Survey Sampling (UG/G)
STAT 328 Causal Inference (UG/G)
STAT 330-1 Applied Statistics for Research (G)
STAT 332 Statistics for Life Sciences (UG)
STAT 344 Statistical Computing (UG/G)
STAT 348-0 Applied Multivariate Analysis (UG/G)
STAT 350-0 Regression Analysis (UG/G)
STAT 351-0 Design and Analysis of Experiments (UG/G)
STAT 352-0 Nonparametric Statistical Methods (UG/G)
STAT 353-0 Advanced Regression (UG/G)
STAT 354-0 Time Series Modeling (UG/G)
STAT 356 Hierarchical Linear Models (UG/G)
STAT 357 Introduction to Bayesian Statistics
STAT 359 Topics in Statistics (UG/G)
STAT 362-0 Advanced Machine Learning for Data Science (UG)
STAT 365 Introduction to the Analysis of Financial Data (UG/G)
STAT 370 Human Rights Statistics (UG/G)
STAT 383 Probability and Statistics for ISP (UG)
STAT 390-0 Data Science Project (UG)
STAT 399 Independent Study (UG)
STAT 415-0 Introduction to Machine Learning
STAT 420-1,2,3 Introduction to Statistical Theory & Methodology Series (G)
STAT 425 Sampling Theory and Applications (G)
STAT 435 Mathematical Foundations of Machine Learning
STAT 439 Meta-Analysis (G)
STAT 455 Advanced Qualitative Data Analysis (G)
STAT 456 Generalized Linear Models (G)
STAT 457 Applied Bayesian Inference (G)
STAT 461 Advanced Topics in Statistics (G)
STAT 465 Statistical Methods for Bioinformatics and Computational Biology (G)
STAT 499 Independent Study (G)
