Business Analytics Unit 3: Getting Started with R (Part 1) | DU B.Com Hons Sem 6 | DUSOL 2026 Exam скачать в хорошем качестве

Business Analytics Unit 3: Getting Started with R (Part 1) | DU B.Com Hons Sem 6 | DUSOL 2026 Exam

This video covers Unit 3 – Getting Started with R (Part 1) from the Business Analytics syllabus for Delhi University (DU) B.Com (Hons) Semester 6 and DUSOL 2026 exams. If you are preparing for your final semester exams, internal assessments, practical exams, or viva, this lecture will help you understand the fundamentals of R programming for Business Analytics in a simple and exam-oriented way. TELEGRAM : https://t.me/collegestudiesdu 📌 Topics Covered in This Video ✔ Introduction to Business Analytics ✔ Role of R in Business Analytics ✔ What is R Programming Language? ✔ Features and Advantages of R ✔ Installation of R and RStudio ✔ R Interface Overview ✔ Basic Syntax in R ✔ Data Types in R (Numeric, Character, Logical, etc.) ✔ Variables and Assignment Operators ✔ Basic Arithmetic Operations in R ✔ Working with Vectors in R ✔ Built-in Functions in R ✔ Installing and Loading Packages ✔ Simple Data Analysis using R ✔ Practical Examples for DU Exam ✔ Important Theory Questions for Semester 6 ✔ Previous Year Question Discussion ✔ Exam-Oriented Notes for DU & DUSOL This lecture is specially designed for: DU Regular B.Com (Hons) Semester 6 Students DUSOL Students (2026 Batch) Students preparing for Business Analytics Theory + Practical Students who want to start learning R Programming from scratch Stay tuned for Part 2, where we will cover advanced concepts and practical applications in R. business analytics unit 3, getting started with r, r programming for business analytics, du bcom hons sem 6, dusol 2026 exam, business analytics du syllabus, r programming basics, r tutorial for beginners, business analytics semester 6, du business analytics paper, r language introduction, r programming notes for exam, dusol business analytics, business analytics one shot, r programming du exam, business analytics practical r, du sem 6 business analytics, bcom hons business analytics