Monday, November 18, 2024 at 8:30 AM until 10:30 AMCentral Standard Time UTC -06:00
Goldring/Woldenberg Hall II7 Mcalister DrNew Orleans, LA 70118United States
Business analytics refers to the skills, technologies, and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. Business analytics has been widely adopted in different functional areas (i.e., accounting, finance, operations, marketing, and human resources) as well as a wide range of different industries (energy, healthcare, sports, government, etc.). For example, banks, such as Capital One, use analytics to segment customers based on credit risk, usage behavior and other characteristics and then to match customer characteristics with appropriate product offerings. Harrah’s, the gaming firm, uses analytics based on tracking consumer behavior to improve its customer loyalty programs. This course provides students with the fundamental concepts, techniques, and applications needed to understand the emerging role of business analytics in organizations, and the ability to communicate with analytics professionals to effectively use and interpret analytics models and results for making better business decisions. This course will also familiarize students with R (analyses software) and Tableau (visualization software) which are widely used in the industry.
Yatish Hegde is a Lecturer in A. B. Freeman School of Business at Tulane University. Yatish teaches Modeling and Analytics, Applied Machine Learning and Business Analytics Projects classes for the Masters in Business Analytics (MANA) program. He has also taught Business Analytics for the Executive MBA and for undergraduate programs. Yatish has a wealth of experience leading the system development for data analytics applications and has expertise in using Machine Learning and Natural Language Processing techniques in systems development.