Python is one of the most popular tools for business analytics, offering powerful capabilities for data manipulation, statistical analysis, and automation. This course introduces the fundamentals of using Python for business analytics, with a strong emphasis on NumPy and pandas?two essential libraries for data processing and analysis.
You will learn how to efficiently work with structured data, clean and transform datasets, perform calculations, and extract key business insights. The course covers techniques for handling large datasets, applying descriptive statistics, and leveraging Python to automate repetitive data tasks.
By the end of this course, you will have hands-on experience using Python to analyze real-world business data, helping you make data-driven decisions and improve business performance.
Prerequisite: IDSC 3101 or CSCI 1133
Gopher Grades is maintained by Social Coding with data from Summer 2017 to Fall 2025 provided by the University in response to a public records request