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              Books in the Addison-Wesley Data & Analytics Series series

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              Total 11 jump to: go ‹ previous12next ›
              Visual Data Storytelling with Tableau
               

              Visual Data Storytelling with Tableau (Trade Paperback / Paperback)

              By Ryan, Lindy

              • RRP: $137.99
              • $101.32
              • Save $36.67
              • In Stock UK

              This is the first end-to-end, full-color guide to telling powerful, actionable data stories using Tableau, the world s #1 visualization software. Renowned expert Lindy Ryan shows you how to communicate the full business implications of your data analyses by combining Tableau s re...markable capabilities with a deep understanding of storytelling and design. Each chapter illuminates key aspects of design practice and data visualization, and guides you step-by-step through applying them in Tableau. Ryan demonstrates how data stories resemble and differ from traditional storytelling, and helps you use Tableau to analyze, visualize, and communicate insights that are meaningful to any stakeholder, in any medium. Information Visualization in Tableau presents exercises that give you hands-on practice with the most up-to-date capabilities available through Tableau 10 and the full Tableau software ecosystem. Ryan s classroom-tested exercises won t just help you master the software: they ll show you to craft data stories that inspire action. Coverage includes: The visual data storytelling paradigm: moving beyond static charts to powerful visualizations that combine narrative with interactive graphics How to think like a data scientist, a storyteller, and a designer -- all in the same project Data storytelling case studies: the good, the bad, and the ugly Shaping data stories: blending data science, genre, and visual design Seven best practices for visual data storytelling -- and common pitfalls to avoid Tricks and hacks you can use with any toolset, not just Tableau
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              ISBN 9780134712833
              Released NZ 17 Apr 2018
              Publisher Pearson Education (US)
              Interest Age General Audience
              Series Addison-Wesley Data & Analytics Series
              Availability
              Internationally sourced; ships 6-14 working days
              View details for this title
              Data Analytics with Spark Using Python
               

              Data Analytics with Spark Using Python (Trade Paperback / Paperback)

              By Aven, Jeffrey

              • RRP: $115.50
              • $95.33
              • Save $20.17
              • In Stock US

              Spark for Data Professionals introduces and solidifies the concepts behind Spark 2.x, teaching working developers, architects, and data professionals exactly how to build practical Spark solutions. Jeffrey Aven covers all aspects of Spark development, including basic programming ...to SparkSQL, SparkR, Spark Streaming, Messaging, NoSQL and Hadoop integration. Each chapter presents practical exercises deploying Spark to your local or cloud environment, plus programming exercises for building real applications. Unlike other Spark guides, Spark for Data Professionals explains crucial concepts step-by-step, assuming no extensive background as an open source developer. It provides a complete foundation for quickly progressing to more advanced data science and machine learning topics. This guide will help you: Understand Spark basics that will make you a better programmer and cluster citizen Master Spark programming techniques that maximize your productivity Choose the right approach for each problem Make the most of built-in platform constructs, including broadcast variables, accumulators, effective partitioning, caching, and checkpointing Leverage powerful tools for managing streaming, structured, semi-structured, and unstructured data
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              ISBN 9780134846019
              Released NZ 30 Jun 2018
              Publisher Pearson Education (US)
              Interest Age General Audience
              Series Addison-Wesley Data & Analytics Series
              Availability
              Internationally sourced; ships 6-14 working days
              View details for this title
              Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications
               

              Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications (Paperback)

              By Kelleher, Andrew; Kelleher, Adam

              • RRP: $137.99
              • $101.32
              • Save $36.67
              • In Stock US

              The typical data science task in industry starts with an ask from the business. But few data scientists have been taught what to do with that ask. This book shows them how to assess it in the context of the business's goals, reframe it to work optimally for both the data scientis...t and the employer, and then execute on it. Written by two of the experts who've achieved breakthrough optimizations at BuzzFeed, it's packed with real-world examples that take you from start to finish: from ask to actionable insight. Andrew Kelleher and Adam Kelleher walk you through well-formed, concrete principles for approaching common data science problems, giving you an easy-to-use checklist for effective execution. Using their principles and techniques, you'll gain deeper understanding of your data, learn how to analyze noise and confounding variables so they don't compromise your analysis, and save weeks of iterative improvement by planning your projects more effectively upfront. Once you've mastered their principles, you'll put them to work in two realistic, beginning-to-end site optimization tasks. These extended examples come complete with reusable code examples and recommended open-source solutions designed for easy adaptation to your everyday challenges. They will be especially valuable for anyone seeking their first data science job -- and everyone who's found that job and wants to succeed in it.
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              ISBN 9780134116549
              Released NZ 16 Jun 2018
              Publisher Pearson Education (US)
              Interest Age 19+ years
              Series Addison-Wesley Data & Analytics Series
              Availability
              Internationally sourced; ships 6-14 working days
              View details for this title
              Pandas for Everyone: Python Data Analysis
               

              Pandas for Everyone: Python Data Analysis (Trade Paperback / Paperback)

              By Chen, Daniel

              • RRP: $109.99
              • $90.57
              • Save $19.42
              • Backorder US

              This tutorial teaches everything you need to get started with Python programming for the fast-growing field of data analysis. Daniel Chen tightly links each new concept with easy-to-apply, relevant examples from modern data analysis. Unlike other beginner's books, this guide help...s today's newcomers learn both Python and its popular Pandas data science toolset in the context of tasks they'll really want to perform. Following the proven Software Carpentry approach to teaching programming, Chen introduces each concept with a simple motivating example, slowly offering deeper insights and expanding your ability to handle concrete tasks. Each chapter is illuminated with a concept map: an intuitive visual index of what you'll learn -- and an easy way to refer back to what you've already learned. An extensive set of easy-to-read appendices help you fill knowledge gaps wherever they may exist. Coverage includes: Setting up your Python and Pandas environment Getting started with Pandas dataframes Using dataframes to calculate and perform basic statistical tasks Plotting in Matplotlib Cleaning data, reshaping dataframes, handling missing values, working with dates, and more Building basic data analytics models Applying machine learning techniques: both supervised and unsupervised Creating reproducible documents using literate programming techniques
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              ISBN 9780134546933
              Released NZ 26 Dec 2017
              Publisher Pearson Education (US)
              Interest Age General Audience
              Series Addison-Wesley Data & Analytics Series
              Availability
              Internationally sourced (on backorder); allow 4-8 weeks
              View details for this title
              R for Everyone: Advanced Analytics and Graphics
               

              R for Everyone: Advanced Analytics and Graphics (Trade Paperback / Paperback, 2nd edition)

              By Lander, Jared

              • RRP: $123.50
              • $102.86
              • Save $20.64
              • Backorder US

              Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the so...lution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you ll need to accomplish 80 percent of modern data tasks. Lander s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You ll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you ll construct several complete models, both linear and nonlinear, and use some data mining techniques. By the time you re done, you won t just know how to write R programs, you ll be ready to tackle the statistical problems you care about most. Coverage Includes: Exploring R, RStudio, and R packages Using R for math: variable types, vectors, calling functions, and more Exploiting data structures, including data.frames, matrices, and lists Creating attractive, intuitive statistical graphics Writing user-defined functions Controlling program flow with if, ifelse, and complex checks Improving program efficiency with group manipulations Combining and reshaping multiple datasets Manipulating strings using R s facilities and regular expressions Creating normal, binomial, and Poisson probability distributions Programming basic statistics: mean, standard deviation, and t-tests Building linear, generalized linear, and nonlinear models Assessing the quality of models and variable selection Preventing overfitting, using the Ela
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              ISBN 9780134546926
              Released NZ 8 Jun 2017
              Publisher Pearson Education (US)
              Interest Age 19+ years
              Series Addison-Wesley Data & Analytics Series
              Availability
              Internationally sourced (on backorder); allow 4-8 weeks
              View details for this title
              Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS
               

              Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS (Trade Paperback / Paperback)

              By Alapati, Sam

              • RRP: $154.50
              • $113.61
              • Save $40.89
              • In Stock UK

              Stop searching the web for out-of-date, fragmentary, and unreliable information about running Hadoop! Now, there's a single source for all the authoritative knowledge and trustworthy procedures you need: Expert Hadoop 2 Administration: Managing Spark, YARN, and MapReduce. Pioneer...ing Hadoop/Big Data administrator Sam R. Alapati shares step-by-step procedures for confidently performing every important task involved in creating, configuring, securing, managing, and optimizing production Hadoop clusters. The only Hadoop administration guide written by a working Hadoop administrator, Expert Hadoop 2 Administration covers an unmatched range of topics, and offers an unparalleled collection of realistic examples. Alapati shares proven answers to complex configuration, management and performance tuning problems Hadoop administrators constantly encounter, and expert guidance for customizing Hadoop 2's intensely complex environment. Throughout, he integrates action-oriented advice with carefully-researched explanations of both problems and solutions. Coverage includes: Indispensable Hadoop 2 concepts, including architecture, clusters, and application frameworks Configuring high-reliability, high-performance Hadoop environments Managing and protecting Hadoop data and high availability, including HDFS management, compression, data formats, and NameNode Moving data, allocating resources and scheduling jobs with YARN, and managing job workflows with Oozie and Hue Hadoop 2 security, monitoring, logging, and benchmarking Troubleshooting root causes of severe performance slowdowns Preventing trouble by proactively maintaining healthy Hadoop environments Installing Hadoop 2 virtual environments, and more
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              ISBN 9780134597195
              Released NZ 6 Dec 2016
              Publisher Pearson Education (US)
              Interest Age 19+ years
              Series Addison-Wesley Data & Analytics Series
              Availability
              Internationally sourced; ships 6-14 working days
              View details for this title
              Machine Learning with Python for Everyone
               

              Machine Learning with Python for Everyone (Trade Paperback / Paperback)

              By Fenner, Mark

              • RRP: $116.68
              • $116.68
              • Backorder US

              Business analysts, managers, researchers, and students are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine Learning with Python for Everyone brings together all they'll need to succeed: a pract...ical understanding of the machine learning process, accessible code, skills for implementing that process with Python and the scikit-learn library, and real expertise in using learning systems intelligently. Reflecting 20 years of experience teaching non-specialists, Dr. Mark Fenner teaches through carefully-crafted datasets that are complex enough to be interesting, but simple enough for non-specialists. Building on this foundation, Fenner presents real-world case studies that apply his lessons in detailed, nuanced ways. Throughout, he offers clear narratives, practical code-alongs, and easy-to-understand images -- focusing on mathematics only where it's necessary to make connections and deepen insight.
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              ISBN 9780134845623
              Released NZ 1 Jul 2019
              Publisher Pearson Education (US)
              Interest Age 19+ years
              Series Addison-Wesley Data & Analytics Series
              Availability
              Internationally sourced (on backorder); allow 4-8 weeks
              View details for this title
              Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git
               

              Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git (Paperback)

              By Freeman, Michael; Ross, Joel

              • RRP: $141.99
              • $104.40
              • Save $37.59
              • In Stock UK

              This unique guide brings together all the skills you need to get started with data science -- one of the world's fastest growing fields! Leading data science instructors Michael Freeman and Joel Ross start by guiding you through installing and configuring all the free open source... software you'll need to solve professional-level data science problems. Next, they introduce key concepts, show how to work with data, and build your understanding with practical examples. You'll learn crucial R programming skills, and find easy-to-understand reference content to help you get the syntax right and troubleshoot your own code. Step by step, you'll learn through practical exercises that can be combined into complete data science projects. Everything's focused on practical application, so you can get real results, fast! Understand the field of data science (and why it's growing so fast) Install and configure R, RStudio, git, GitHub, and VSCode Keep track of your work with Git and GitHub Use simple Markdown code to style documents for easier understanding Work with the R programming language and its objects Wrangle data into shape for processing Create R visualizations with ggplot and Plotly Publish with RMarkdown Build interactive applications with Shiny And much more
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              ISBN 9780135133101
              Released NZ 16 Nov 2018
              Publisher Pearson Education (US)
              Interest Age General Audience
              Series Addison-Wesley Data & Analytics Series
              Availability
              Internationally sourced; ships 6-14 working days
              View details for this title
              Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights
               

              Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights (Trade Paperback / Paperback)

              By Rodrigues, Joanne

              • RRP: $137.50
              • $105.92
              • Save $31.58
              • Backorder UK

              This guide shows how to combine data science with social science to gain unprecedented insight into customer behavior, so you can change it. Joanne Rodrigues-Craig bridges the gap between predictive data science and statistical techniques that reveal why important things happen -...- why customers buy more, or why they immediately leave your site -- so you can get more behaviors you want and less you don't. Drawing on extensive enterprise experience and deep knowledge of demographics and sociology, Rodrigues-Craig shows how to create better theories and metrics, so you can accelerate the process of gaining insight, altering behavior, and earning business value. You'll learn how to: Develop complex, testable theories for understanding individual and social behavior in web products Think like a social scientist and contextualize individual behavior in today's social environments Build more effective metrics and KPIs for any web product or system Conduct more informative and actionable A/B tests Explore causal effects, reflecting a deeper understanding of the differences between correlation and causation Alter user behavior in a complex web product Understand how relevant human behaviors develop, and the prerequisites for changing them Choose the right statistical techniques for common tasks such as multistate and uplift modeling Use advanced statistical techniques to model multidimensional systems Do all of this in R (with sample code available in a separate code manual)
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              ISBN 9780135258521
              Released NZ 10 May 2019
              Publisher Pearson Education (US)
              Interest Age General Audience
              Series Addison-Wesley Data & Analytics Series
              Availability
              Internationally sourced (on backorder); allow 4-8 weeks
              View details for this title
              Python Data Analytics Cookbook: Projects from the NumFocus Community
               

              Python Data Analytics Cookbook: Projects from the NumFocus Community (Paperback)

              By Vanderplas, Jacob

              • RRP: $125.50
              • $92.11
              • Save $33.39
              • Backorder UK
              ISBN 9780134546940
              Released NZ 21 Jan 2019
              Publisher Pearson Education (US)
              Interest Age General Audience
              Series Addison-Wesley Data & Analytics Series
              Availability
              Internationally sourced (on backorder); allow 4-8 weeks
              View details for this title
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