Applied Linear Regression for Business Analytics with Python: A Practical Guide Using Ravix with Case Studies
暫譯: 使用 Python 的商業分析應用線性回歸：以 Ravix 為例的實用指南與案例研究

Dr. Daniel McGibney is an Associate Professor of Professional Practice at the University of Miami Herbert Business School, USA. He currently teaches analytics to both graduate and undergraduate students. Over the years, he has taught many analytics and data science classes, ranging from Basic Statistics to Big Data Analytics and Deep Learning. He has taught Applied Linear Regression Analysis to students pursuing their MSBA, MBA, MST, and MAcc. He also actively oversees and mentors graduate capstone projects in Analytics for MSBA students, collaborating with Deloitte, Visa, Carnival, Citi, Experian, and many other companies. Dr. McGibney formerly served as the program director for the Herbert Business School's MSBA degree program. He advised students, oversaw admissions, expanded industry partnerships, and advanced the program curriculum during his tenure as program director.

丹尼爾·麥基比尼博士（Dr. Daniel McGibney）是美國邁阿密大學赫伯特商學院（University of Miami Herbert Business School）專業實踐副教授。他目前教授研究生和本科生的分析課程。多年來，他教授了許多分析和數據科學課程，涵蓋從基礎統計到大數據分析和深度學習的範疇。他曾教授應用線性回歸分析（Applied Linear Regression Analysis）給攻讀碩士商業分析（MSBA）、工商管理碩士（MBA）、碩士科學（MST）和會計碩士（MAcc）的學生。他還積極監督和指導MSBA學生的畢業專案，並與德勤（Deloitte）、維薩（Visa）、嘉年華（Carnival）、花旗（Citi）、Experian及其他多家公司合作。麥基比尼博士曾擔任赫伯特商學院MSBA學位課程的項目主任。在擔任項目主任期間，他負責指導學生、監督招生、擴展產業夥伴關係，並推進課程內容。