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.
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The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.