pstrongHarness actionable insights from your data with computational statistics and simulations using RstrongppbrppstrongKey Features strongpulliLearn five different simulation techniques Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling in-depth using real-world case studiesliliA unique book that teaches you the essential and fundamental concepts in statistical modeling and simulationliulpbrppstrongBook Description strongppData Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be a powerful combination to solve complexities involved with varied data sets in the real world.ppbrppThe book will provide a computational and methodological framework for statistical simulation to the users. Through this book, you will get in grips with the software environment R. After getting to know