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College:
—
Agriculture & Life Sciences
DASA
Design
Education
Engineering
Humanities & Social Sciences
Management
Natural Resources
Other
Sciences
Textiles
Veterinary Medicine
Year/Semester:
—
Spring (all sessions), 2024
Spring (16-week), 2024
Spring (8-week 1), 2024
Spring (8-week 2), 2024
Summer I (all sessions), 2024
Summer I (3-week), 2024
Summer I (5-week), 2024
Summer I (10-week), 2024
Summer II (5-week), 2024
Fall (all sessions), 2024
Fall (16-week), 2024
Fall (8-week 1), 2024
Fall (8-week 2), 2024
Subject:
—
BIO – Biological Sciences
BMA – Biomathematics
BSC – Biological Sciences
CH – Chemistry
COS – College of Sciences
FIM – Financial Mathematics
GGS – Genetic Genomic Sciences
GN – Genetics
GPH – Global Public Health
LSC – Life Sciences First Year
MA – Mathematics
MB – Microbiology
MEA – Marine, Earth and Atmospheric Sciences
PAMS – Physical and Mathematical Sciences
PMS – Physical and Mathematical Sciences
PSC – Public Science
PY – Physics
SIP – Solving Interdisciplinary Problems
ST – Statistics
TOX – Toxicology
ZO – Zoology
Number:
—
101 – Statistics by Example
114 – Statistical Programming
307 – Introduction to Statistical Programming- SAS
308 – Introduction to Statistical Programming - R
311 – Introduction to Statistics
312 – Introduction to Statistics II
350 – Economics and Business Statistics
370 – Probability and Statistics for Engineers
371 – Introduction to Probability and Distribution Theory
372 – Introduction to Statistical Inference and Regression
401 – Experiences in Data Analysis
404 – Epidemiology and Statistics in Global Public Health
421 – Introduction to Mathematical Statistics I
422 – Introduction to Mathematical Statistics II
430 – Introduction to Regression Analysis
431 – Introduction to Experimental Design
432 – Introduction to Survey Sampling
434 – Applied Time Series
435 – Statistical Methods for Quality and Productivity Improvement
437 – Applied Multivariate and Longitudinal Data Analysis
440 – Applied Bayesian Analysis
442 – Introduction to Data Science
445 – Introduction to Statistical Computing and Data Management
446 – Intermediate SAS Programming with Applications
451 – Sports Analytics
452 – Statistical Learning and Data Analytics
495 – Special Topics in Statistics
497 – Professional Experience in Statistics
498 – Independent Study In Statistics
499 – Research Experience in Statistics
501 – Fundamentals of Statistical Inference I
502 – Fundamentals of Statistical Inference II
503 – Fundamentals of Linear Models and Regression
511 – Statistical Methods For Researchers I
512 – Statistical Methods For Researchers II
513 – Statistics for Management and Social Sciences I
514 – Statistics For Management and Social Sciences II
515 – Experimental Statistics for Engineers I
516 – Experimental Statistics For Engineers II
517 – Applied Statistical Methods I
518 – Applied Statistical Methods II
519 – Teaching and Learning of Statistical Thinking
520 – Statistical Principles of Clinical Trials
531 – Experimental Design
534 – Applied Time Series
537 – Applied Multivariate and Longitudinal Data Analysis
540 – Applied Bayesian Analysis
542 – Statistical Practice
546 – Probability and Stochastic Processes I
555 – Statistical Programming I
556 – Statistical Programming II
558 – Data Science for Statisticians
563 – Introduction to Statistical Learning
590 – Special Topics
630 – Independent Study
695 – Master's Thesis Research
701 – Statistical Theory I
702 – Statistical Theory II
703 – Statistical Methods I
704 – Statistical Methods II
705 – Linear Models and Variance Components
706 – Nonlinear Programming
732 – Longitudinal Data Analysis
740 – Bayesian Inference and Analysis
745 – Analysis of Survival Data
747 – Probability and Stochastic Processes II
758 – Computation for Statistical Research
779 – Advanced Probability for Statistical Inference
790 – Advanced Special Topics
793 – Advanced Statistical Inference
801 – Seminar
810 – Advanced Topics in Statistics
841 – Statistical Consulting
895 – Doctoral Dissertation Research
Delivery Method:
—
In Person
Internet/Hybrid
Internet
Search
Reset
Search Results – Sciences
One moment please…
Found 268 courses where college is
Sciences
and subject is
ST – Statistics
in current and future semesters:
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ST 311 301
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 301
Semester:
SPRG 2024
C. Chung
F 8:30am–9:20am
ST 311 302
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 302
Semester:
SPRG 2024
M. Woollacott
F 8:30am–9:20am
ST 311 303
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 303
Semester:
SPRG 2024
R. Ferrand
F 8:30am–9:20am
ST 311 304
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 304
Semester:
SPRG 2024
C. Chung
F 9:35am–10:25am
ST 311 305
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 305
Semester:
SPRG 2024
M. Woollacott
F 9:35am–10:25am
ST 311 306
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 306
Semester:
SPRG 2024
R. Ferrand
F 9:35am–10:25am
ST 311 307
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 307
Semester:
SPRG 2024
C. Chung
F 10:40am–11:30am
ST 311 308
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 308
Semester:
SPRG 2024
M. Shelden
F 10:40am–11:30am
ST 311 309
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 309
Semester:
SPRG 2024
C. Hall
F 10:40am–11:30am
ST 311 310
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 310
Semester:
SPRG 2024
M. Woollacott
F 11:45am–12:35pm
ST 311 311
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 311
Semester:
SPRG 2024
M. Shelden
F 11:45am–12:35pm
ST 311 312
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 312
Semester:
SPRG 2024
R. Ferrand
F 11:45am–12:35pm
ST 311 313
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 313
Semester:
SPRG 2024
C. Hall
F 12:50pm–1:40pm
ST 311 314
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 314
Semester:
SPRG 2024
M. Shelden
F 12:50pm–1:40pm
ST 311 601
Introduction to Statistics
Introduction to Statistics
Course:
ST 311 601
Semester:
SPRG 2024
M. Winters
DE
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