| Catalog Content |
Applied Data Analysis covers statistical concepts, data collection and cleaning, data visualization, and descriptive analysis. Students learn to perform inferential analysis using probability distributions, confidence intervals, hypothesis testing, and regression analysis. Time series analysis, data mining, and machine learning techniques are applied. Big data applications, data privacy, and security issues are addressed. The course enables the development of application and analysis skills using real-world data sets. |