Python for Business Analytics and AI

(1.5 Credit Hours) · Undergraduate

This course aims to help students develop advanced data analytics and AI skills to tackle real-world business challenges. Using Python, students will learn to clean, transform, and analyze large datasets to uncover meaningful patterns and translate them into business intelligence through insightful visualizations. Students will also learn the essential machine-learning techniques to forecast trends and make predictions. Additionally, students will learn how to build AI agents to automate workflows and enhance decision-making. Emphasizing practical applications, this course will equip students with extensive hands-on experience in the most popular Python libraries including NumPy, Pandas, Matplotlib, Seaborn, scikit-learn as well as modern frameworks for building AI agents such as LangChain, AutoGen, and CrewAI. At the completion of the course, students will be able to leverage data analytics and AI skills to help businesses enhance decision-making, optimize performance, and create competitive advantage. Students are strongly encouraged to complete ITAO 30220 before enrolling in this course.