Course overview
This course will provide a solid foundation in statistical theory, and applications of statistical methods in solving complex problems. Content includes: Exploratory Data Analysis, sampling, estimation, hypothesis testing; Statistical models: correlation analysis, linear regression, logistic regression; Experimental Design and hypothesis testing methods: ANOVA, chi-square test, non-parametric methods, and multivariate extensions; Introduction to machine learning; Using SAS to solve statistical problems.
Course learning outcomes
- Understand the foundational theory of statistics.
- Understand and demonstrate proficiency in statistical analysis of data.
- Apply statistical methods to solve real-world problems and communicate these solutions effectively.
- Demonstrate proficiency in using SAS for data exploration and statistical analysis tasks.