STAT 131 Intro to Probability
Introduction to statistical methods/reasoning, including descriptive methods, data-gathering (experimental design and sample surveys), probability, interval estimation, significance tests, one- and two-sample problems, categorical data analysis, correlation and regression. Emphasis on applications to the natural and social sciences.
Term: Spring
Course materials
| Week | Date | Topic | Materials |
|---|---|---|---|
| 1 | Data Cleaning and Preprocessing Techniques for handling missing values, outliers, and data transformation. | ||
| 2 | Data Cleaning and Preprocessing Techniques for handling missing values, outliers, and data transformation. | ||
| 3 | Data Cleaning and Preprocessing Techniques for handling missing values, outliers, and data transformation. | ||
| 4 | Data Cleaning and Preprocessing | ||
| 5 | Data Cleaning and Preprocessing | ||
| 6 | Data Cleaning and Preprocessing |