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Course Information

Business Analytics I (BUS 232)

Term: 2023 - 2024 Academic Year Spring Semester

Faculty

Amitava Karmaker
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Description

Business Analytics 1 introduces students to the foundational techniques in data analysis and business decision-making. The course covers key concepts in data collection, descriptive statistics, probability, and data visualization. Students will learn how to analyze and interpret business data using tools like Excel, as well as create meaningful visualizations to communicate insights effectively. Emphasis is placed on hands-on practice with analytical software and the application of data visualization principles to highlight trends, patterns, and actionable business insights. Through case studies and practical exercises, students will build skills in analyzing business problems and making data-driven decisions.