Introduction to Quantitative Analysis

This repository consists of coursework in Introduction to Quantitative Analysis - DACSS 603. This course covers the fundamentals of quantitative analysis and addresses topics like law of large numbers, correlations, variance, and basic statistical tests. The book used for this course is Regression and Other Stories by Andrew Gelman and some of the exercises covered in this class are from the book as well.

Key Components of the Repository

1. Function Writing in R
2. Exploratory Data Analysis
3. Linear Modelling
4. Logistic Regression
5. Interpretations of different analytic methods like OLS regression, OLS regression with a square-root–transformed outcome, Poisson regression, negative binomial regression, zero-inflated Poisson regression, and zero-inflated negative binomial regression.