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Foundations of Programming, Statistics, and Machine Learning for Business Ana...
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eBay item number:354729651814
Item specifics
- Condition
- Book Title
- Foundations of Programming, Statistics, and Machine Learning for
- ISBN
- 9781529620900
- Subject Area
- Business & Economics
- Publication Name
- Foundations of Programming, Statistics, and Machine Learning for Business Analytics
- Publisher
- SAGE Publications, The Limited
- Item Length
- 9 in
- Subject
- General, Economics / General, Management Science, Statistics
- Publication Year
- 2023
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Weight
- 45.7 Oz
- Item Width
- 7 in
- Number of Pages
- 512 Pages
About this product
Product Identifiers
Publisher
SAGE Publications, The Limited
ISBN-10
1529620902
ISBN-13
9781529620900
eBay Product ID (ePID)
2329415815
Product Key Features
Number of Pages
512 Pages
Language
English
Publication Name
Foundations of Programming, Statistics, and Machine Learning for Business Analytics
Subject
General, Economics / General, Management Science, Statistics
Publication Year
2023
Type
Textbook
Subject Area
Business & Economics
Format
Hardcover
Dimensions
Item Weight
45.7 Oz
Item Length
9 in
Item Width
7 in
Additional Product Features
Intended Audience
College Audience
LCCN
2022-947084
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
658.4/72
Table Of Content
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
Synopsis
This book provides an introduction to the key concepts in programming, statistics and machine learning needed by business analytics students, assuming no prior knowledge and taking a step-by-step approach to help students build up their confidence., 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. 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., 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. Ram Gopalis Pro-Dean and Professor of Information Systems at the University of Warwick. Daniel Philpsis an Artificial Intelligence Researcher and Head of Rothko Investment Strategies. Tillman Weydeis Senior Lecturer at City, University of London.
LC Classification Number
HD38.7
Item description from the seller
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- 8***5 (18)- Feedback left by buyer.Past monthVerified purchaseI didn't see a verbal description of this book as "hardcover" or paperback. Cover design and price were similar to both cover styles. I thought I'd left a question for the seller, but I may have done something wrong. The package was too small to match the hardcovers previously received so I returned it unopened. Seller was very efficient, and packaging offered excellent protection. Haven't checked to see if refund was processed.
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- l***l (29)- Feedback left by buyer.Past yearVerified purchaseExcellent! This seller has really good prices, communication, packaging and fast shipping. The book I bought was better than described and I would definitely buy from this seller again. It was my time to have this book.🙌 A+++++El Kybalion by Trismegisto, Hermes, Like New Used, Free shipping in the US (#354955234211)
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