{"product_id":"simulation-for-data-science-with-r-effective-data-driven-decision-making-9781785881169","title":"Simulation for Data Science with R: Effective Data-driven Decision Making","description":"\u003cp\u003e • Author(s): Matthias Templ\u003cbr\u003e • Publisher: Packt Publishing\u003cbr\u003e • Publisher Imprint: Packt Publishing\u003cbr\u003e • BISAC: Programming - Algorithms\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eHarness actionable insights from your data with computational statistics and simulations using R\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth using real-world case studies\u003c\/li\u003e\n\u003cli\u003eA unique book that teaches you the essential and fundamental concepts in statistical modeling and simulation\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eData 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe 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 the background of popular methods in the area of computational statistics, you will see some applications in R to better understand the methods as well as gaining experience of working with real-world data and real-world problems. This book helps uncover the large-scale patterns in complex systems where interdependencies and variation are critical. An effective simulation is driven by data generating processes that accurately reflect real physical populations. You will learn how to plan and structure a simulation project to aid in the decision-making process as well as the presentation of results.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this book, you reader will get in touch with the software environment R. After getting background on popular methods in the area, you will see applications in R to better understand the methods as well as to gain experience when working on real-world data and real-world problems.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eThe book aims to explore advanced R features to simulate data to extract insights from your data.\u003c\/li\u003e\n\u003cli\u003eGet to know the advanced features of R including high-performance computing and advanced data manipulation\u003c\/li\u003e\n\u003cli\u003eSee random number simulation used to simulate distributions, data sets, and populations\u003c\/li\u003e\n\u003cli\u003eSimulate close-to-reality populations as the basis for agent-based micro-, model- and design-based simulations\u003c\/li\u003e\n\u003cli\u003eApplications to design statistical solutions with R for solving scientific and real world problems\u003c\/li\u003e\n\u003cli\u003eComprehensive coverage of several R statistical packages like boot, simPop, VIM, data.table, dplyr, parallel, StatDA, simecol, simecolModels, deSolve and many more.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for users who are familiar with computational methods. If you want to learn about the advanced features of R, including the computer-intense Monte-Carlo methods as well as computational tools for statistical simulation, then this book is for you. Good knowledge of R programming is assumed\/required.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46497393574039,"sku":"9781785881169","price":5403.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781785881169.webp?v=1769179932","url":"https:\/\/atlanticbooks.com\/products\/simulation-for-data-science-with-r-effective-data-driven-decision-making-9781785881169","provider":"Atlantic Books","version":"1.0","type":"link"}