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Business Analytics, is driven by an increasing demand from the real world. This book reviews advances in data analytics and business intelligence that assists industries in problem-solving exercises, with a view to driving competitive advantage.
Covering basic univariate and bivariate statistics and regression models for nominal, ordinal, and interval outcomes, this textbook provides... Læs mere
This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows.
This book proposes that the solution to growing burden of carbon emission lies within the technology innovation as continued advancements in processes make businesses lean and smart.
Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems.
The book is intended to serve as an introductory course in group theory geared towards second-year university students. The second part is the core of the book... Læs mere
This book covers computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It covers main topics of psychometrics such as validity, reliability, item analysis, and item response theory models.
The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, using... Læs mere
An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R... Læs mere
This new textbook on remote sensing and digital image processing of natural resources includes numerous practical, problem-solving exercises,... Læs mere
Moving well beyond simply speeding up computation, this book tackles AI for Finance from a range of perspectives including business, technology, research, and students. Covering aspects... Læs mere
This book is designed to equip students to navigate through MS Excel and basic data computation methods which are essential tools in research or professional settings and in classrooms.