SocratesAcademy / Bigdata
NJU Master Course **Big Data Mining and Analysis**
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《大数据挖掘与分析》
NJU Master Course Big Data Mining and Analysis
- 授课人：王成军
- 联系方式：[email protected]
- 计算传播网：http://computational-communication.com
时间安排
大数据挖掘与分析 050302D01
- 72学时，4学分
- 南京大学仙林校区新闻传播学院201
- 周四1-2节课 & 周五 5-6节课
授课计划
- 一、计算新闻传播学简介 [课程要求、 常见问题 、Jupyter Notebook使用、 Slides制作方法]
- 二、大数据简介
- 三、数据科学的编程工具：Python使用简介（3h） [Graphlab、rpy2]
- 四、数据抓取：抓取政府工作报告、Beautifulsoup
- 五、数据抓取：抓取音乐评论
- 六、数据清洗：清洗推特数据
- 七、数据清洗：清洗占中新闻、清洗天涯论坛帖子
- 八、统计初步:
- 九、机器学习
- 十、文本挖掘简介
- 十一、文本挖掘：基于机器学习的情感分析
- 十二、文本挖掘：主题模型 [graphlab]
- 十三、计算传播应用：推荐系统简介
- 十四、计算传播应用：推荐系统实践 [音乐推荐、 电影推荐、隐含语义模型]
- 十五、网络科学理论简介
- 十六、网络科学模型
- 十七、网络科学：使用NetworkX分析网络结构
- 十八、课程总结 回帖网络分析
作业信息
https://github.com/computational-class/bigdata/wiki/
Tutorials
http://nbviewer.jupyter.org/github/computational-class/bigdata/blob/gh-pages/code/
PPT
- 下载后，打开slides文件夹浏览
- 【推荐】通过nbviewer浏览，打开http://nbviewer.jupyter.org/github/computational-class/bigdata/blob/gh-pages/code/ ，选取需要浏览的slides，点击上方的view as slides🎁图标
在线书籍
在线浏览链接见：https://computational-class.github.io/ccbook/
相关课程
- Introduction to Python Programming for Data Science https://github.com/computational-class/datascience
- Foundations of Data Science https://www.inferentialthinking.com/chapters/intro.html
- Principles and Techniques of Data Science https://www.textbook.ds100.org/intro
- Mining massive datasets http://www.mmds.org/
参考文献
- 计算传播学
- Python编程
- 数据抓取 无
- 数据清洗 无
- 社会统计
- 机器学习
- 文本挖掘
- 推荐系统
- 网络科学
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