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

English · Paperback / Softback

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Description

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For self-service data preparation, Tableau Prep is relatively easy to use-- as long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up to speed on Tableau Prep through a series of practical lessons that include methods for preparing, cleaning, automating, organizing, and outputting your datasets. Based on Allchin's popular blog, "Preppin' data", this practical guide takes you step-by-step through Tableau Prep's fundamentals. Self-service data preparation reduces the time it takes to complete data projects and improves the quality of your analyses. Discover how Tableau Prep helps you access your data and turn it inot valuable information.

About the author










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.


Summary

Carl Allchin from The Information Lab in London gets you up to speed on Tableau Prep through a series of practical lessons that include methods for preparing, cleaning, automating, organizing, and outputting your datasets.

Product details

Authors Carl Allchin
Publisher O'Reilly
 
Languages English
Product format Paperback / Softback
Released 31.10.2020
 
EAN 9781492079620
ISBN 978-1-4920-7962-0
Dimensions 178 mm x 233 mm x 22 mm
Weight 714 g
Subjects Natural sciences, medicine, IT, technology > IT, data processing > IT

COMPUTERS / Mathematical & Statistical Software, SCIENCE / Research & Methodology, COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Visualization, Data capture and analysis, Data Capture & Analysis

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