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Course Catalog

OPIM 407 Advanced Business Analytics 3 Credits
The main objective of this course is to present predictive and prescriptive analytics tools in the context of business cases, with an emphasis on implementing analytical approaches within an organization. Throughout this course, students will learn: use tools and ideas from Analytics and R’s environment to solve interesting and exciting business problems; learn how to formulate relevant business questions that can be answered using data; understand the various steps of data preparation like data cleaning and feature extraction; develop and test hypotheses to inform managerial decisions and to collaborate meaningfully with multiple stakeholders; evaluate the effectiveness of a solution through statistical learning methods (supervised & unsupervised methods); communicate results to both technical and non-technical audiences.
Last Offered Terms Course Name SU Credit
Spring 2023-2024 Advanced Business Analytics 3
Spring 2022-2023 Advanced Business Analytics 3
Fall 2021-2022 Advanced Business Analytics 3
Fall 2020-2021 Advanced Business Analytics 3
Spring 2010-2011 Business Inteligence and Decision Support Systems 3
Fall 2009-2010 Business Inteligence and Decision Support Systems 3
Fall 2007-2008 Data Mining and Knowledge Discovery 3
Fall 2006-2007 Data Mining and Knowledge Discovery 3
Prerequisite: OPIM 390 - Undergraduate - Min Grade D
Corequisite: __
ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year)
General Requirements: