Applied Linear Regression for Business Analytics with Python
A Practical Guide Using Ravix with Case Studies
Applied Linear Regression for Business Analytics with R
A Practical Guide to Data Science with Case Studies
We are excited to introduce our textbooks on applied regression analysis for business analytics. Whether you are a student or a professional seeking to enhance your analytical skills, these books are designed to provide you with a solid foundation in regression analysis and its practical applications in the business world — available in both R and Python.
Key Features
Practical Approach
Goes beyond theory and focuses on real-world scenarios and case studies from various business domains. By combining mathematical formulation with practical in-depth analysis, you gain hands-on experience applying regression to real business problems.
Multiple Audiences
Tailored for graduate students in MSBA and MBA programs, and also suitable for advanced undergraduates in business, analytics, math, and statistics.
Comprehensive Coverage
Each chapter covers essential regression concepts step by step, with careful structure to ensure a smooth learning curve from fundamentals through advanced model diagnostics.
R & Python Integration
Both editions embed the programming language throughout, letting you learn regression in a practical context using tools that are widely used in industry data analytics.