📘 Business Analytics | Latest Edition (NEP-Aligned | UGCF 2022)
✒️ Authored by Prof. H.K. Dangi & Gurveen Kaur, this textbook is a practical and conceptual guide tailored for undergraduate students of the University of Delhi and other institutions following NEP 2020 and UGCF 2022. It is a must-have for students eager to master data-driven decision-making and real-world business analysis.

📌 Key Features:

✅ Balanced Theory-Practice Approach – Builds a strong conceptual foundation in Business Analytics while providing hands-on learning through MS Excel, Tableau, and R
✅ Real-World Case Studies & Exercises – Each chapter is reinforced with practical examples, MCQs, discussion questions, and case studies for applied learning
✅ NEP/UGCF-Aligned – Designed as per the latest syllabus under UGCF 2022, reflecting the modern, interdisciplinary approach advocated by NEP 2020
✅ Ethical Focus – Includes a dedicated chapter on ethics in analytics, addressing data privacy, bias, and responsible data use

🎯 Who Should Read This Book?

• 🎓 Undergraduate students pursuing B.Com., BBA, or Business Analytics electives

• 📊 Aspiring data analysts, managers, or marketers looking to integrate analytics into their workflow

• 🧑‍🏫 Educators needing a structured, NEP-aligned textbook

• 🧠 Learners looking for a step-by-step guide to working with Excel, R, and Tableau

📚 Chapter-wise Snapshot:

1️⃣ Introduction to Business Analytics – Evolution, architectural framework, types (descriptive, predictive, prescriptive), and applications across industries
2️⃣ Data Preparation – Cleaning, validation, correlation, and data exploration techniques using MS Excel
3️⃣ Data Summarisation & Visualisation – Basic to advanced visualisation tools using Tableau, with business-focused examples
4️⃣ Getting Started with R – R & RStudio basics, data structures, environment setup, and coding walkthroughs
5️⃣ Descriptive Statistics Using R – Central tendency, dispersion, visual analytics, and variable relationships through R plots
6️⃣ Predictive Analytics – Linear regression (simple & multiple), prediction intervals, model application using R
7️⃣ Textual Analysis – Sentiment analysis, word clouds, tree maps, and text mining techniques applied in real scenarios
8️⃣ Ethics in Business Analytics – Ethical considerations, biases, and responsible analytics with practical case insights

📖 A modern, skill-building companion that blends analytical tools with real-world insight—ideal for today’s data-driven business learners.