Python数据可视化在数据挖掘课程教学中的应用

The Application of Python Data Visualization in Data Mining Course Instruction

摘要: 大数据时代已然到来，针对大数据专业的数据挖掘课程变得尤为重要。然而，目前数据挖掘课程的传统教学方法面临诸多问题，教学过程无法直观展示日益更新的数据挖掘算法和流程，极大增加了学生的理解难度。Python拥有多种可视化方法，可以有效解决数据挖掘课程中的直观展示问题，为数据挖掘课程教学提供了新的途径。本文探讨了Python数据可视化在数据挖掘课程教学中的应用，包括其优势、具体的教学应用方法以及教学效果评估，旨在提高数据挖掘课程的教学质量和学生的学习效果。

Abstract: The era of big data has arrived, and data mining courses for big data majors have become particularly important. However, the traditional teaching methods of data mining courses currently face many problems, and the teaching process cannot intuitively display the increasingly updated data mining algorithms and processes, greatly increasing the difficulty of students’ understanding. Python has multiple visualization methods that can effectively solve the problem of intuitive display in data mining courses, providing a new approach for teaching data mining courses. This article explores the application of Python data visualization in the teaching of data mining courses, including its advantages, specific teaching application methods, and teaching effectiveness evaluation, aiming to improve the teaching quality of data mining courses and students’ learning outcomes.