Simulation for Data Science with R

✍ Matthias Templ [Matthias Templ] 📂 Library 📅 2016 🏛 Packt Publishing 🌐 English

Harness actionable insights from your data with computational statistics and simulations using RAbout This Book<ul><li>Learn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth

Data Science for Business With R

📁 Data Science for Business With R

✍ Jeffrey S. Saltz, Jeffrey Morgan Stanton 📂 Library 📅 2021 🏛 SAGE Publications 🌐 English

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using

Data Science for Business With R

📁 Data Science for Business With R

✍ Jeffrey S. Saltz, Jeffrey Morgan Stanton 📂 Library 📅 2021 🏛 SAGE Publications 🌐 English

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using

R for Data Science: Learn and explore th

📁 R for Data Science: Learn and explore the fundamentals of data science with R

✍ Dan Toomey 📂 Library 📅 2014 🏛 Packt Publishing 🌐 English

R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks and is best suited to produce data and visual analytics through customizable scripts and commands. The purpose of the book is to explore the core topics that data scientists are inter

Data analysis for the life sciences with

📁 Data analysis for the life sciences with R

✍ Irizarry, Rafael A.; Love, Michael I 📂 Library 📅 2017 🏛 Chapman and Hall/CRC 🌐 English

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code t

Data Science with R

📁 Data Science with R

✍ Pathak, Manas A 📂 Library 📅 2014 🏛 Springer 🌐 English

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