The Library
Foundations of programming, statistics, and machine learning for business analytics
Tools
Gopal, Ram D., Philps, Daniel and Weyde, Tillman (2023) Foundations of programming, statistics, and machine learning for business analytics. Sage. ISBN 9781529620900
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: https://uk.sagepub.com/en-gb/eur/foundations-of-pr...
Abstract
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 progressively Suitable as an essential text for undergraduate and postgraduate students studying Business Analytics or as pre-reading for students studying Data Science.
Item Type: | Book | ||||
---|---|---|---|---|---|
Divisions: | Faculty of Social Sciences > Warwick Business School | ||||
Publisher: | Sage | ||||
ISBN: | 9781529620900 | ||||
Official Date: | April 2023 | ||||
Dates: |
|
||||
Number of Pages: | 512 | ||||
Status: | Not Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |