Description
Taxmann Business Analytics edition 2024 by H.K. Dangi and Gurveen Kaur
This book emphasises the critical role of data in today's evolving business landscape. It highlights the increasing complexity of the business environment and the growing demand for professionals adept at analysing data patterns and translating them into actionable strategies.
This book is designed to progressively build the reader's knowledge in business analytics, from fundamental concepts to specialised techniques and ethical considerations, complete with practical applications and exercises for reinforcement.
The Present Publication is the Latest Edition, focusing on the latest syllabus under UGCF 2022, aligning with the National Education Policy (NEP) adopted by the University of Delhi. This book is authored by Prof. H.K. Dangi and Gurveen Kaur, with the following noteworthy features:
[Balanced Approach Between Theory and Practice] The book maintains an equilibrium between theoretical knowledge and practical application. It lays a solid theoretical foundation in Business Analytics while also emphasising its practical aspects
[Real-World Application and Hands-On Learning] Incorporating real-life case studies, hands-on examples, and exercises, the book ensures that students can connect theoretical concepts with their implementation in the real world
[Educational Journey in Business Analytics] This book offers insights into data-driven decision-making and strategic thinking
The structure of the book is as follows:
[Learning Outcomes] Every chapter begins with the list of learning outcomes which the readers will achieve after the completion of the chapter
[Headings/Sub-headings] Chapters are further divided into headings and sub-headings to increase the reader's comprehension
[Practice & Discussion Questions] Each chapter contains a series of practice/discussion questions to help the reader review the material
[Case Studies] are provided at the end of each chapter to help readers implement their learning into hypothetical real-life situations
The content is methodically divided into eight chapters, covering a broad range of topics such as:
Introduction
Begins with a historical overview and the architectural framework of business analytics
Definitions, distinctions between analysis and analytics, and types (descriptive, predictive, prescriptive) are discussed
Applications across finance, marketing, human resources, and healthcare are explored alongside a case study and summary, followed by exercises and multiple-choice questions
Data Preparation
Focuses on the data preparation process, using MS-Excel for cleaning and validation, identifying outliers, and understanding covariance and correlation matrix
Practical application to business, summary, exercises, and multiple-choice questions are included
Data Summarisation and Visualisation
Covers types of data summarisation and visualisation, with an emphasis on using Tableau
The chapter concludes with exercises and multiple-choice questions
Getting Started with R
Introduces R and R Studio, highlighting the advantages of R, installation processes, data structures in R, and their application to business
Summarised with exercises and multiple-choice questions
Descriptive Statistics Using R
Measures of central tendency, dispersion, and relationship between variables are explored
Focuses on data visualisation using R through various plots and business applications, followed by a summary, exercises, and questions
Predictive Analytics
Discusses simple and multiple linear regression models, confidence and prediction intervals, regression analysis using R, and their applications in business
A summary, exercises, and multiple-choice questions are provided
Textual Analysis
Highlights the significance, applications, and challenges of textual data analysis
Introduces methods and techniques like word clouds, tree maps, and sentiment analysis using R, with a focus on business applications, summarised with exercises and questions
Ethics in Business Analytics
Addresses the meaning and importance of ethics in analytics, ethical issues, and considerations for ethical conduct
Concludes with practical applications to business, a summary, exercises, and multiple-choice questions