TY - BOOK AU - Dangi, H.K. AU - Kaur, Gurveen TI - Business Analytics SN - 9789357786690 U1 - 658.401 D15B PY - 2024/// CY - New Delhi PB - Taxman Publication Pvt. Ltd KW - Business KW - Introduces R and R Studio N1 - 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 N2 - This book underscores the pivotal role of data in the contemporary business landscape, blending theoretical knowledge with practical application to prepare students and professionals for data analysis and strategic implementation. It aligns with the UGCF 2022 syllabus under the National Education Policy of the University of Delhi. Covering a wide array of topics from data preparation to ethics in business analytics, it integrates tools like MS Excel, Tableau, and R for comprehensive learning in business analytics ER -