I find this site greatly useful.<p>Undergraduate courses
STAT 100: Statistical Concepts and Reasoning<p><pre><code> STAT 200: Elementary Statistics
STAT 414: Introduction to Probability Theory
STAT 415: Introduction to Mathematical Statistics
STAT 461: Analysis of Variance
STAT 462: Applied Regression Analysis
STAT 464: Applied Nonparametric Statistics
Statistical Analysis System Programming (STAT 480/481/482)
STAT 480: Introduction to SAS
STAT 481: Intermediate SAS
STAT 482: Advanced Topics in SAS
STAT 484: Topics in R Statistical Language
STAT 485: Intermediate Topics in R Statistical Language
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-----------------------------------------------------------<p>Graduate Courses
Statistical Analysis System Programming<p><pre><code> STAT 480 - Introduction to SAS (1 credit)
STAT 481 - Intermediate SAS (1 credit)
STAT 482 - Advanced Topics in SAS (1 credit)
STAT 484 - Topics in R Statistical Language
STAT 485 - Intermediate Topics in R Statistical Language
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Theoretical Foundations<p><pre><code> STAT 414 - Introduction to Probability Theory
STAT 415 - Introduction to Mathematical Statistics
STAT 464 - Applied Nonparametric Statistics
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Graduate Level Courses<p><pre><code> STAT 500 - Applied Statistics*
STAT 501 - Regression Methods*
STAT 502 - Analysis of Variance and Design of Experiments
STAT 503 - Design of Experiments
STAT 504 - Analysis of Discrete Data
STAT 505 - Applied Multivariate Statistical Analysis
STAT 506 - Sampling Theory and Methods
STAT 507 - Epidemiological Research Methods
STAT 509 - Design and Analysis of Clinical Trials
STAT 510 - Applied Time Series Analysis
* For students just beginning the Graduate Certificate or the Masters in Applied Statistics program, STAT 500 then STAT 501 would be the recommended courses to begin your study.
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Advanced Application of Statistical Methods<p><pre><code> STAT 897D - Applied Data Mining I
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Capstone Experience<p><pre><code> STAT 580/581 - Statistical Consulting Practicum Sequence</code></pre>