This course offers a comprehensive exploration of simulations and their applications in various fields such as Artificial Intelligence, Physics, Computational Biology, and Finance. With the increasing computational power, simulations have become an essential tool for solving complex problems. The course begins by providing a solid foundation in random variables and the necessary tools for running simulations. Through hands-on experience with real-world applications, participants will gain practical skills in simulation techniques. The second chapter focuses on probability concepts, using engaging exercises based on card games and popular probability puzzles. These exercises serve as a framework for understanding probability and culminate in a practical exercise of modeling an eCommerce advertising simulation. In the third chapter, participants will delve into different resampling methods, including bootstrap resampling, jackknife resampling, and permutation testing. These methods will enhance their data analysis process and expand their analytical toolkit. The final chapter of the course explores the practical applications of simulations in the business world. Participants will learn how to model profits, optimize costs, and conduct power analysis. This chapter aims to equip participants with the skills necessary to apply simulations in a business setting. By the end of this course, participants will have a solid understanding of simulations, probability concepts, and resampling methods. They will also have gained practical experience in using simulations for business purposes.