Description: Data Science for Water Utilities by Peter Prevos Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the authors extensive experience. Publisher Description This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the authors extensive experience.Data Science for Water Utilities: Data as a Source of Value is an applied, practical guide that shows water professionals how to use data science to solve urban water management problems. Content develops through four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that, with each case study, increases in complexity. The last case study analyses data using basic machine learning.Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to data science and creating value with R. Author Biography Peter Prevos is a civil engineer and social scientist who manages the data science function at Coliban Water in regional Australia. Peter has three decades of experience in water management in Europe, Asia and Australia. He promotes creating value from data using code. He is the author of several books and runs leading courses in data science for water professionals. Details ISBN 1032354550 ISBN-13 9781032354552 Title Data Science for Water Utilities Author Peter Prevos Format Hardcover Year 2023 Pages 197 Publisher Taylor & Francis Ltd GE_Item_ID:158181038; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 169.15 USD
Location: Fairfield, Ohio
End Time: 2025-02-06T03:43:43.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781032354552
Book Title: Data Science for Water Utilities
Number of Pages: 197 Pages
Language: English
Publication Name: Data Science for Water Utilities : Data As a Source of Value
Publisher: CRC Press LLC
Subject: Programming / Games, Environmental / Water Supply, Natural Resources
Publication Year: 2023
Item Weight: 19.4 Oz
Type: Textbook
Author: Peter Prevos
Subject Area: Nature, Computers, Technology & Engineering
Item Length: 10 in
Series: Chapman and Hall/Crc Data Science Ser.
Item Width: 7 in
Format: Hardcover