BUSQOM 0101 - BUSINESS ANALYTICS 1
Minimum Credits: 3
Maximum Credits: 3
This course builds on the Programming Essentials course and introduces foundational topics underlying modern business analytics to undergraduate business students. The course focuses on providing a solid basis in the necessary probability and statistics to understand and apply data-driven methods. Students will learn elementary probability, descriptive statistics, data visualization, hypothesis testing, and analysis of variance, and how to apply these techniques on real-world business datasets using Python and Tableau. Emphasis will be placed on how the fundamentals of probability and statistics equip students to reason about and make decisions using business data, powered by modern data science technologies. Towards the end of the semester, students will learn applied statistical tools that are useful for handling high-dimensional data (e.g., clustering and factor analysis); and, using Python, they will be introduced to some of the challenges of handling Big Data.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: Letter Grade
Click here for class schedule information.
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