Foundations of Programming, Statistics, & Machine Learning for Business Analytics

<p>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.</p> <p>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. </p> <p>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.</p> <p>Key features:</p> <p>· Introduces programming fundamentals using R and Python</p> <p>· Covers data structures, data management and manipulation and data visualization</p> <p>· Includes interactive coding notebooks so that you can build up your programming skills progressively</p> <p>Suitable as an essential text for undergraduate and postgraduate students studying Business Analytics or as pre-reading for students studying Data Science.</p> <p>Ram Gopal is Pro-Dean and Professor of Information Systems at the University of Warwick.</p> <p>Daniel Philps is an Artificial Intelligence Researcher and Head of Rothko Investment Strategies.</p> <p>Tillman Weyde is Senior Lecturer at City, University of London.</p>