BADM 2010 - Excel in Business
Primary Instructor
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Spring 2020
Teaches beginner to intermediate level Excel skills, emphasizing efficient use of Excel to make sense of substantial data sets. The course is designed to increase students' proficiency with Excel through a series of hands-on workshops. The workshops have a business problem solving orientation and use real data from Leeds' corporate partners. The workshops emphasize the most important skills that employers value.
BADM 3880 - Special Topics
Primary Instructor
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Summer 2018 / Summer 2019 / Summer 2020 / Summer 2021 / Summer 2022 / Summer 2023
Introduces students to the many facets of the marketing of sport and marketing through sport. Theoretical and practical applications of marketing sport are examined. Provides students with an understanding of current marketing concepts and best business practices, related to sports enterprises and a foundation for pursuit of further study and work in sports and event marketing.
BAIM 3205 - Business Data Management
Primary Instructor
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Spring 2021 / Fall 2021 / Spring 2022 / Fall 2022 / Spring 2023 / Fall 2023 / Spring 2024
Emphasizes the fundamentals of modern database design in the context of large-scale applications. Covers analysis phase activities such as data modeling for requirements analysis. Covers the extended entity relationship model and the semantic data model in-depth. Covers design phase activities such as the normalization criteria of the relational model and transformation from conceptual to physical design. Introduces object oriented databases. Formerly MGMT 4205.
BAIM 3220 - Introduction to Python Programming
Primary Instructor
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Fall 2019 / Spring 2020 / Fall 2020 / Spring 2022 / Spring 2023 / Spring 2024
Python has emerged as the key programming language for data science and business analytics. Helps students understand the programming mindset though use of open source software and libraries and introduces students to object oriented programming. Formerly MGMT 3220.
BAIM 4200 - Advanced Business Analytics
Primary Instructor
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Spring 2024
Students in this class will use the Python programming language to create, evaluate, and deploy advanced machine learning predictive models. They will be trained in using modern collaborative source-code versioning tools. Best-practice methods will be provided to develop and create machine learning models, enabling their coding processes and their output to be shared with other analysts and managers alike. Formerly MGMT 4500.
BAIM 4205 - Business Data Management
Primary Instructor
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Fall 2019 / Spring 2020 / Fall 2020
Emphasizes the fundamentals of modern database design in the context of large-scale applications. Covers analysis phase activities such as data modeling for requirements analysis. Covers the extended entity relationship model and the semantic data model in-depth. Covers design phase activities such as the normalization criteria of the relational model and transformation from conceptual to physical design. Introduces object oriented databases. Formerly MGMT 4205.
BCOR 2205 - Introduction to Information Management and Analytics
Primary Instructor
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Spring 2020
Focuses on the fundamentals of managing information in a data driven business environment. Students will learn the basic concepts and best practices in Information Management that can improve their abilities to lead and manage in organizations. The class teaches cutting-edge tools and approaches to the analysis of data, including "big data," for effective decision-making.It creates data connoisseurs through hands-on exposure to supervised machine learning. Application areas covered include human resources, marketing, finance, and supply chain. At the end of class, all students should be able to formulate common business problems in terms addressable through machine learning, and use automated machine learning tools to conduct the analysis and present deep insights to business leaders. Course requirements: clickers. Credit not granted for this course and BCOR 2500.
MSBC 5070 - Survey of Business Analytics
Primary Instructor
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Summer 2020 / Summer 2021 / Summer 2022 / Summer 2023
Designed as an introduction to Business Analytics, which considers the extensive use of data, methods and fact-based management to support and improve decision making. Business intelligence focuses on data handling, queries and reports to generate information associated with products, services and customers, business analytics uses data and models to explain business performance and how it can be improved. The class will be built on heavy hands-on coding; it will introduce and subsequently involve extensive use of Python.
