OPEN.ED@PSU Courses

STAT 800: Introduction to Applied Statistics

Develop statistical analysis skills for real-world applications, from everyday decision-making to complex research scenarios, using computer-based methods and practical examples.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 414: Introduction to Probability Theory

Learn probability theory fundamentals, applications, and problem-solving skills. Covers probability assignment, discrete and continuous distributions, joint distributions, and functions of random variables.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 415: Introduction to Mathematical Statistics

Theoretical exploration of statistical inference, covering estimation, hypothesis testing, regression, ANOVA, chi-square tests, and nonparametric methods. Develops understanding of advanced statistical concepts and techniques.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 480: Introduction to SAS

Learn essential SAS programming skills for data management and analysis, preparing you for advanced SAS courses and certification exams.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 481: Intermediate SAS

Advance your SAS skills with data management techniques, programming tools, and preparation for the Base Programming Certification Exam. Gain confidence in using SAS for effective data manipulation.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 482: Advanced Topics in SAS

Enhance SAS expertise with advanced programming techniques, statistical procedures, and data management skills for efficient analysis and problem-solving in complex scenarios.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 484: Topics in R Statistical Language

Desarrolla habilidades en R para análisis estadístico y gráficos, incluyendo manejo de datos, procedimientos comunes, programación básica y buenas prácticas analíticas.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 485: Intermediate Topics in R Statistical Language

Explore advanced R programming for statistical analysis, data visualization, and collaborative research. Builds on STAT 484, covering sophisticated graphics, programming techniques, and best practices for documentation.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 500: Applied Statistics

Comprehensive introduction to probability, distributions, and data analysis for graduate students. Develop skills in applying statistical methods, interpreting results, and using Minitab software for research and reporting.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 501: Regression Methods

Explore regression analysis for predicting dependent variables using sample data. Learn to create mathematical models, interpret results, and apply methods in various scenarios.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 502: Analysis of Variance and Design of Experiments

Learn advanced ANOVA techniques, including factorial designs, random effects, split plots, and ANCOVA, to enhance your statistical analysis skills for complex experimental data.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 503: Design of Experiments

Learn to design effective experiments, from basic principles to advanced techniques like factorial designs and response surface methodologies. Gain practical skills in statistical software for data analysis and project completion.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 504: Analysis of Discrete Data

Develop critical analysis skills for contingency tables, explore generalized linear models, and gain practical experience using SAS/R for discrete data analysis.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 505: Applied Multivariate Statistical Analysis

Explore multivariate statistical methods, including t-tests, ANOVA extensions, dimension reduction, and clustering techniques. Learn to select, implement, and interpret analyses using SAS and Minitab.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

STAT 506: Sampling Theory and Methods

Learn sampling design and analysis methods for research and management across various fields, ensuring efficient data summarization and analysis with minimal assumptions and complications.

• OPEN.ED@PSU
• On-Demand
• Free Online Course