IS 303: Generative AI for Business and Data Analysis

Course Description

This course provides an accessible introduction to using generative AI for business and data analysis. Designed for students without prior coding experience, it focuses on practical applications of larger language models (LLMs) like GPT to enhance decision-making, streamline workflows, and develop AI-powered tools. Students will learn key concepts such as prompt engineering as well as using AI within Python. The course also covers techniques for validating data and ensuring the reliability of AI-generated outputs, helping to create accurate and dependable solutions. Hands-on activities will guide students in applying AI to automate tasks such as customer service, report generation, and data analysis through simple Python-based exercises. By the end of the course, students will have the skills to develop AI-driven applications that combine data and generative AI to solve real-world business challenges. Prerequisites: (CRIM JUS 281, ECON 210, MATH 201, MATH 301, PSYCH 203, or SOC 281) AND EITHER (Admitted to the School of Business) OR (60 credits and 2.2 GPA). Special course fees may apply.