Exploration and Practice of AI-Assisted Teaching Paths for Financial Data Visualization and Analysis

Abstract

In the digital economy era, there is an urgent demand in the financial field for talents with integrated “technology + business” capabilities. This study focuses on cultivating financial data visualization and analysis capabilities of vocational college finance and economics students, taking Power BI as the core teaching tool and organically integrating AI tools as auxiliary means into the entire teaching process. Focusing on the “Financial Big Data Analysis” classroom, the paper designs specific intervention points of AI tools in key links such as data understanding, code learning, and report writing. Practice through the “profitability diagnosis and analysis” project shows that this model can effectively lower learning thresholds, inspire analytical thinking, and improve the quality of outcomes, thereby addressing students’ fear of difficulties, enhancing their comprehensive business analysis capabilities, and providing a practical and referable path for digital teaching reform in similar institutions.