The digital economy is accelerating at a pace that challenges every traditional boundary of business, technology, and decision-making. Organizations today operate in environments driven by data where every transaction, customer interaction, and operational workflow generates information that must be captured, interpreted, and transformed into meaningful insights. As businesses adopt analytics-based strategies, the demand for professionals equipped with strong programming skills and analytical thinking has never been greater.
Business Analytics has emerged as a transformative discipline, enabling enterprises to make informed decisions, automate processes, enhance customer experience, and gain competitive advantage. Programming tools such as MySQL, SAS, Python, and R have become indispensable in turning raw data into actionable intelligence. Students entering the world of commerce and management must therefore possess both conceptual understanding and hands-on expertise in these technologies.
This book is designed to meet that exact need. It provides a structured and comprehensive introduction to Business Analytics Programming for undergraduate learners. The content begins with foundational database concepts and query processing using MySQL, progresses into data handling operations using SAS, and advances further into versatile programming with Python and R. Each unit blends theory with practical illustrations, ensuring that students gain the confidence to analyze data, draw insights, and build solutions relevant to real-world business problems.
Contents –
UNIT 1 Introduction to Database Management Systems
UNIT 2 Data Definition and Manipulation
UNIT 3 Basics of SAS Programmes
UNIT 4 PYTHON
UNIT 5 R-Programming
LAB Programming