{"product_id":"foundations-of-programming-statistics-and-machine-learning-for-business-analytics-paperback","title":"Foundations of Programming, Statistics, and Machine Learning for Business Analytics - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRam Gopal\u003c\/b\u003e (Author), \u003cb\u003eDan Philps\u003c\/b\u003e (Author), \u003cb\u003eTillman Weyde\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBusiness 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.\u003c\/p\u003e \u003cp\u003eThis 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. \u003cstrong\u003e \u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eAssuming 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.\u003c\/p\u003e \u003cp\u003eKey features: \u003c\/p\u003e \u003cp\u003e- Introduces programming fundamentals using R and Python \u003c\/p\u003e \u003cp\u003e- Covers data structures, data management and manipulation and data visualization\u003c\/p\u003e \u003cp\u003e- Includes interactive coding notebooks so that you can build up your programming skills progressively\u003c\/p\u003e \u003cp\u003eSuitable as an essential text for undergraduate and postgraduate students studying Business Analytics or as pre-reading for students studying Data Science.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eRam Gopal\u003c\/strong\u003e is Pro-Dean and Professor of Information Systems at the University of Warwick.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eDaniel Philps\u003c\/strong\u003e is an Artificial Intelligence Researcher and Head of Rothko Investment Strategies.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eTillman Weyde\u003c\/strong\u003e is Senior Lecturer at City, University of London.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eRam D. Gopal is the Information Systems Society's \u003ci\u003eDistinguished Fellow\u003c\/i\u003e and Alan Turing Institute's \u003ci\u003eTuring Fellow\u003c\/i\u003e, a Professor of Information Systems and Management, and Pro-Dean for Research, Engagement, and Impact at the Warwick Business School. \u003c\/p\u003e\u003cp\u003eDan Philps is a veteran quantitative investment manager and a widely published artificial intelligence (AI) researcher. \u003c\/p\u003e\u003cp\u003eTillman 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. \u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 512\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.03 x 9.69 x 7.44 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 23, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52540282798354,"sku":"9781529620917","price":198.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/rUpUNtjcbn9781529620917.webp?v=1784822529","url":"https:\/\/ckbookstore.net\/products\/foundations-of-programming-statistics-and-machine-learning-for-business-analytics-paperback","provider":"CK BOOKSTORE","version":"1.0","type":"link"}