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Lectures

1. \textbf{Applied Statistics and Data Analysis - Lecture 1: Introduction
2. Exploratory Data Analysis
3. Applied Statistics and Data Analysis: Statistical Models
4. Applied Statistics and Data Analysis: Statistical Inference
5. \textbf{Linear Regression with a Single Predictor and Introduction to ANOVA
6. Towards Multiple Linear Regression and Logistic Regression
7. Predictive and Classification Methods
8. Unsupervised Methods: Principal Component Analysis and Cluster Analysis
9. Lecture 8: Tree-based Methods