Foundations of Programming, Statistics, and Machine Learning for Business Analyt

Description: Foundations of Programming, Statistics, and Machine Learning for Business Analytics by Ram Gopal, Dan Philps, Tillman Weyde Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book provides an introduction to the key concepts in programming, statistics and machine learning needed by business analytics students, assuming no prior knowledge and taking a step-by-step approach to help students build up their confidence. Publisher Description Business Analysts and Data Scientists are in huge demand, as global companies seek to digitally transform themselves and leverage their data resources to realize competitive advantage.This book covers all the fundamentals, from statistics to programming to business applications, to equip you with the solid foundational knowledge needed to progress in business analytics. Assuming no prior knowledge of programming or statistics, this book takes a simple step-by-step approach which makes potentially intimidating topics easy to understand, by keeping Maths to a minimum and including examples of business analytics in practice.Key features:* Introduces programming fundamentals using R and Python* Covers data structures, data management and manipulation and data visualization* Includes interactive coding notebooks so that you can build up your programming skills progressivelySuitable as an essential text for undergraduate and postgraduate students studying Business Analytics or as pre-reading for students studying Data Science.Ram Gopal is Pro-Dean and Professor of Information Systems at the University of Warwick.Daniel Philps is an Artificial Intelligence Researcher and Head of Rothko Investment Strategies.Tillman Weyde is Senior Lecturer at City, University of London. Author Biography Ram D. Gopal is the Information Systems Societys Distinguished Fellow and Alan Turing Institutes Turing Fellow, a Professor of Information Systems and Management, and Pro-Dean for Research, Engagement, and Impact at the Warwick Business School. Dan Philps is a veteran quantitative investment manager and a widely published artificial intelligence (AI) researcher. Tillman Weyde is a Reader in Computer Science at City, University of London. Before joining City in 2005, he worked as a researcher in the Research Department for Music and Media Technology at the University of OsnabrÜck. Details ISBN 1529620902 ISBN-13 9781529620900 Title Foundations of Programming, Statistics, and Machine Learning for Business Analytics Author Ram Gopal, Dan Philps, Tillman Weyde Format Hardcover Year 2023 Pages 512 Publisher Sage Publications Ltd GE_Item_ID:158536870; 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

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