Foundations of programming, statistics, and machine learning for business analytics
Chapter 1: Introduction To Programming And StatisticsChapter 2: Summarizing And Visualizing DataChapter 3: Summarizing And Visualizing DataChapter 4: Programming FundamentalsChapter 5: Programming FundamentalsChapter 6: DistributionsChapter 7: Statistical Testing - Concepts and StrategyChapter 8: St...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Los Angeles, London
SAGE
2023
|
| Schlagworte: | |
| Online Zugang: | Cover Inhaltsverzeichnis |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Tag hinzufügen 
| Zusammenfassung: | Chapter 1: Introduction To Programming And StatisticsChapter 2: Summarizing And Visualizing DataChapter 3: Summarizing And Visualizing DataChapter 4: Programming FundamentalsChapter 5: Programming FundamentalsChapter 6: DistributionsChapter 7: Statistical Testing - Concepts and StrategyChapter 8: Statistical Testing - Concepts and StrategyChapter 9: Nonparametric TestsChapter 10: Reality CheckChapter 11: Fundamentals of EstimationChapter 12: Linear ModelsChapter 13: General Linear ModelsChapter 14: Regression Diagnostics And StructureChapter 15: Timeseries And ForecastingChapter 16: Introduction To Machine LearningChapter 17: Model Selection And Cross ValidationChapter 18: Regression Models In Machine LearningChapter 19: Classification Models And EvaluationChapter 20: Automated Machine Learning 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 |
|---|---|
| Beschreibung: | Interessenniveau: 4CT, für die Hochschulausbildung Interessenniveau: 4TC, Lehrbuch, Skript |
| Beschreibung: | xiv, 492 Seiten Illustrationen |
| ISBN: | 9781529620900 978-1-5296-2090-0 9781529620917 978-1-5296-2091-7 |