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大数据采集与预处理技术

Class time: 2025-10-09 ~ 2026-12-31,Total 64 weeks

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It has been carried out to the first week 10 · Number of participants:128 · Total Credits:0 | Added to favorites Favorites
Course objectives
This course is a core foundational course for related majors such as Applied Artificial Intelligence Technology and Applied Big Data Technology. It bridges prerequisite courses like Python Programming Fundamentals and Computer Basics, providing essential skills for subsequent courses in Data Analysis and Visualization, and Fundamentals of Machine Learning. It serves as a key competency-building module at the entry point of the big data industry chain.

Through a combination of theoretical teaching and practical operation, it enables students to master the basic knowledge, core technologies, and practical tools of big data collection and preprocessing, establish big data thinking, and gain the practical ability to obtain data from multiple sources and perform standardized processing.
通过理论教学与实践操作相结合的方式,使学生掌握大数据采集与预处理的基本知识、核心技术和实用工具,建立大数据思维,具备从多源渠道获取数据并进行标准化处理的实践能力。
Textbook

This course is a core foundational course for related majors such as Applied Artificial Intelligence Technology and Applied Big Data Technology. It bridges prerequisite courses like Python Programming Fundamentals and Computer Basics, providing essential skills for subsequent courses in Data Analysis and Visualization, and Fundamentals of Machine Learning. It serves as a key competency-building module at the entry point of the big data industry chain.

本课程是人工智能技术应用、大数据技术应用等相关专业的核心基础课程,衔接 Python 编程基础、计算机基础等先修课程,为数据分析与可视化、机器学习基础等后续课程提供关键技能支撑,是大数据产业链入口环节的核心能力培养载体。


Teaching team
Shen Jianguang Chief Lecturer

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Chen Ningchao 陈柠超 Leading Institute

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