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Tableau Prep: Up and Running: Self Service Data Preparation for Better Analysis
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Tableau Prep: Up and Running: Self Service Data Preparation for Better Analysis

Tableau Prep: Up and Running: Self Service Data Preparation for Better Analysis

Carl Allchin

300 pages, parution le 29/09/2020

Résumé

For self-service data preparation, Tableau Prep is relatively easy to use-as long as you know how to clean and organize your datasets. Based on the popular blog Preppin' Data, this practical guide takes you step-by-step through the fundamentals of data preparation using this popular tool.

For self-service data preparation, Tableau Prep is relatively easy to use--as long as you know how to clean and organize your datasets. Based on the popular blog Preppin' Data , this practical guide takes you step-by-step through the fundamentals of data preparation using this popular tool.

Carl Allchin from the Data School in London provides a series of lessons to get you up to speed on Tableau Prep, including methods for cleaning and organizing your datasets. In just a short time, this tool has filled a valuable niche for self-service data preparation in the same way Tableau Desktop has for self-service data analytics. This book gets you started with Tableau Prep right away.

  • Learn fundamental data preparation strategies for approaching complex challenges
  • Understand how to apply those skills in more depth with Tableau Prep
  • Manage projects that require data preparation with more confidence
  • Learn how Tableau Prep will empower you to make informed decisions

Carl Allchin is a multiple time Tableau Ambassador and is 'the Other' Head Coach at one of the world's leading data analytics training programmes at The Data School in London. After over a decade in Financial Services as a Business Intelligence Analyst and Manager, he supported hundreds of companies through consulting, blogging and teaching on market leading data solutions. Carl is the co-founder of Preppin' Data, the only weekly Data Preparation challenge on Tableau and other data tools.

Caractéristiques techniques

  PAPIER
Éditeur(s) O'Reilly
Auteur(s) Carl Allchin
Parution 29/09/2020
Nb. de pages 300
EAN13 9781492079620

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