"A First Course in Bayesian Statistical Methods" is an introductory textbook that focuses on the principles and applications of Bayesian statistics. It provides a clear explanation of Bayesian concepts, including prior and posterior distributions, and emphasizes the importance of updating beliefs with new data. The book is designed for students and practitioners who want to understand Bayesian methods without requiring extensive mathematical background. The text includes practical examples and exercises to reinforce learning, making it accessible for beginners. It covers various topics such as Bayesian inference, Markov Chain Monte Carlo (MCMC), and Bayesian modeling, providing a solid foundation for further study in the field of statistics.