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Visual Analytics with Tableau
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Visual Analytics with Tableau Paperback - 2019

by Alexander Loth; Foreword by Nate Vogel; Foreword by Sophie Sparkes

From the rear cover

A 4-COLOR JOURNEY THROUGH A COMPLETE TABLEAU VISUALIZATION FOR NON-TECHNICAL BUSINESS USERS

Tableau is a popular data visualization and analytics tool favored by financial analysts, marketers, statisticians, business and sales professionals, data scientists, developers, and many others who need to explore insights and present visual, easy-to-understand data. Visual Analytics with Tableau is an accessible, step-by-step introduction to the world of visual analytics. This up-to-date guide is ideal for both beginners and more experienced users seeking a practical introduction to the fields of data analysis and visualization. Through hands-on examples and exercises, readers learn how to analyze their own data and clearly communicate the results.

This guide covers everything you need to get started with Tableau, from the first steps of connecting to data, creating different types of charts, and adding calculation fields to more advanced features such as table calculations, forecasts, clusters, and R, Python, and MATLAB integration for sophisticated statistical modelling. User-friendly instructions for existing options within the Tableau ecosystem--Tableau Desktop, Tableau Prep, Tableau Server, Tableau Online, and Tableau Public--enable you to integrate, clean, and prepare your data and share your work with others. Visual Analytics with Tableau:

  • Covers the newest versions of Tableau 2018.3 and 2019.1 plus Tableau Prep, Tableau's brand-new data integration application
  • Requires no background in mathematics nor any programming experience
  • Focuses on the visual analytics functionality of Tableau rather than complex statistical programming
  • Offers expert guidance from popular Tableau Germany employee and visualization expert Alexander Loth
  • Discusses advanced Tableau functionality and working with different data structures
  • Provides easy-to-follow instructions, full-color illustrations, learning tools, online resources, and more

If you're getting started with visual analytics and Tableau, this book will teach you everything you need to know to build the foundations and understand how and why to explore your data visually. Alexander has created a fantastic resource that guides you step by step through the process of preparing your data, using Tableau Desktop to analyse it and finding insights.
--Eva Murray, Head of BI and Tableau Zen Master at Exasol

If you're keen to go from beginner to expert in Tableau, Alexander's excellent book gives you everything you need to know. With a crisp and clear style, he talks the reader through all aspects of Tableau, from data cleaning through data analysis and into sharing insight with others.
--Andy Cotgreave, Author of Big Book of Dashboards and Technical Evangelist at Tableau Software

Visual Analytics with Tableau - an easy to understand book by Alexander Loth, one of Tableau's very first employees based in Germany, a recognized speaker on countless conferences, and a Tableau Jedi. It contains both the basics and advanced Tableau features. If you ask me: there is nothing more you need to get started with Tableau!
--Klaus Schulte, Professor at Mnster School of Business & 2019 Tableau Zen Master

Details

  • Title Visual Analytics with Tableau
  • Author Alexander Loth; Foreword by Nate Vogel; Foreword by Sophie Sparkes
  • Binding Paperback
  • Pages 288
  • Volumes 1
  • Language ENG
  • Publisher Wiley
  • Date 2019-05-07
  • Illustrated Yes
  • Features Illustrated, Maps
  • ISBN 9781119560203 / 1119560209
  • Weight 1.2 lbs (0.54 kg)
  • Dimensions 9.2 x 7.4 x 0.5 in (23.37 x 18.80 x 1.27 cm)

About the author

Alexander Loth is a data scientist with over 10 years' experience in the Enterprise software space, focused primarily on Digital Transformation, Big Data, Machine Learning, and Business Analytics. Since 2015 he has been with Tableau Software as Digital Strategist in Frankfurt, Germany where he guides organizations to evolve their data-driven culture. Prior to Tableau, Alexander was a Data Scientist at CERN and worked as a consultant for Capgemini and in software engineering at SAP.

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