Show your appreciation to the best Data Analyst with this beautiful Data Analyst notebook or journal.Data Analyst will also find it useful for taking class notes, keeping lists, or use as a personal journal. Makes a great graduation gift! 6x9 notebook, college ruled, 100 pages with a sturdy matte softcover.

Perfect Gift For Computer Geek or Data Science related peoples. There is 120 pages in this book and the size of this book is 6*9 inch. Those who love and like works with data, they can note necessary information in this book. It has a very good looking message designed on the cover, so that is gonna love anyone in the data science field.

Load, wrangle, and analyze your data using the world's most powerful statistical programming language About This Book Load, manipulate and analyze data from different sources Gain a deeper understanding of fundamentals of applied statistics A practical guide to performing data analysis in practice Who This Book Is For Whether you are learning data analysis for the first time, or you want to deepen the understanding you already have, this book will prove to an invaluable resource. If you are looking for a book to bring you all the way through the fundamentals to the application of advanced and effective analytics methodologies, and have some prior programming experience and a mathematical background, then this is for you. What You Will Learn Navigate the R environment Describe and visualize the behavior of data and relationships between data Gain a thorough understanding of statistical reasoning and sampling Employ hypothesis tests to draw inferences from your data Learn Bayesian methods for estimating parameters Perform regression to predict continuous variables Apply powerful classification methods to predict categorical data Handle missing data gracefully using multiple imputation Identify and manage problematic data points Employ parallelization and Rcpp to scale your analyses to larger data Put best practices into effect to make your job easier and facilitate reproducibility In Detail Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. With over 7,000 user contributed packages, it's easy to find support for the latest and greatest algorithms and techniques. Starting with the basics of R and statistical reasoning, Data Analysis with R dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples. Packed with engaging problems and exercises, this book begins with a review of R and its syntax. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with “messy data”, large data, communicating results, and facilitating reproducibility. This book is engineered to be an invaluable resource through many stages of anyone's career as a data analyst. Style and approach Learn data analysis using engaging examples and fun exercises, and with a gentle and friendly but comprehensive "learn-by-doing" approach.

Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. Key Features Analyze your data using R – the most powerful statistical programming language Learn how to implement applied statistics using practical use-cases Use popular R packages to work with unstructured and structured data Book Description Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples. Packed with engaging problems and exercises, this book begins with a review of R and its syntax with packages like Rcpp, ggplot2, and dplyr. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with messy data, large data, communicating results, and facilitating reproducibility. This book is engineered to be an invaluable resource through many stages of anyone’s career as a data analyst. What you will learn Gain a thorough understanding of statistical reasoning and sampling theory Employ hypothesis testing to draw inferences from your data Learn Bayesian methods for estimating parameters Train regression, classification, and time series models Handle missing data gracefully using multiple imputation Identify and manage problematic data points Learn how to scale your analyses to larger data with Rcpp, data.table, dplyr, and parallelization Put best practices into effect to make your job easier and facilitate reproducibility Who this book is for Budding data scientists and data analysts who are new to the concept of data analysis, or who want to build efficient analytical models in R will find this book to be useful. No prior exposure to data analysis is needed, although a fundamental understanding of the R programming language is required to get the best out of this book.

Show your appreciation to the best Data Analyst with this beautiful Data Analyst notebook or journal.Data Analyst will also find it useful for taking class notes, keeping lists, or use as a personal journal. Makes a great graduation gift! 6x9 notebook, college ruled, 100 pages with a sturdy matte softcover.

Perfect Gift For Computer Geek or Data Science related peoples. There is 120 pages in this book and the size of this book is 6*9 inch. Those who love and like works with data, they can note necessary information in this book. It has a very good looking message designed on the cover, so that is gonna love anyone in the data science field.

'Thought-provoking' Spectator 'Taut and timely . . . A brilliant exploration of social media' Nikesh Shukla 'Original and important . . . Essential reading' Sathnam Sanghera Meet Dillon: a high-functioning fuck-up and carer for his dying mum. Trapped in an absurd cycle of pre-bereavement bereavement, he has been hiding his pain and some horrible truths, not least from his girlfriend, Ramona. His distortions have been growing dangerously more hardcore and hardwired, both online and off, thanks to the self-reinforcing effects of social media and creepy digital surveillance. And when a pair of snooping goons turn up, threatening to expose him, he is forced to confront a gut-wrenching secret that he would rather leave well alone. This audacious novel asks what happens when our minds are twisted beyond recognition by our digital data and search histories, and when our darkest truths are forced into the light by the uncanny predictive capabilities of our smartphones. What lengths would you go to in order to hide from yourself?