{"product_id":"foundations-of-programming-statistics-and-machine-learning-for-business-analytics-9781529620917","title":"Foundations of Programming, Statistics, and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\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\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1: Introduction To Programming And Statistics Chapter 2: Summarizing And Visualizing Data Chapter 3: Summarizing And Visualizing Data Chapter 4: Programming Fundamentals Chapter 5: Programming Fundamentals Chapter 6: Distributions Chapter 7: Statistical Testing – Concepts and Strategy Chapter 8: Statistical Testing – Concepts and Strategy Chapter 9: Nonparametric Tests Chapter 10: Reality Check Chapter 11: Fundamentals of Estimation Chapter 12: Linear Models Chapter 13: General Linear Models Chapter 14: Regression Diagnostics And Structure Chapter 15: Timeseries And Forecasting Chapter 16: Introduction To Machine Learning Chapter 17: Model Selection And Cross Validation Chapter 18: Regression Models In Machine Learning Chapter 19: Classification Models And Evaluation Chapter 20: Automated Machine Learning","brand":"Sage Publications Ltd","offers":[{"title":"Default Title","offer_id":48740298391895,"sku":"9781529620917","price":44.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781529620917.jpg?v=1791378933","url":"https:\/\/bookcurl.com\/products\/foundations-of-programming-statistics-and-machine-learning-for-business-analytics-9781529620917","provider":"Book Curl","version":"1.0","type":"link"}