1. 入门
2. 数据分析流程
3. 数据分析能力层次
4. 数据挖掘概念流程
5. 分类
6. 聚类
7. 预测
8. 关联
9 数据挖掘工具
10. 大数据挖掘
你好,感谢你的关注,开源力量公开课又开始讲课了,让我们一起向大牛学习吧。
下周二晚8:00-10:00,开源力量公开课第47期:数据挖掘入门指引(免费)
报名地址:http://www.osforce.cn/openclass/64/show?id=thinkphp(报名后显示直播地址)
课程背景:
大数据的核心是价值,如何挖掘数据价值,应用是引导,挖掘是关键。数据挖掘是交叉学科,统计学和机器学习是其中最重要的基础。大数据处理不是数据分析,数据分析是什么,数据分析和数据挖掘的区别,数据挖掘的流程、重要环节和主要算法,大数据挖掘和传统数据挖掘的区别,课程会给出一个清晰的认识。
授课形式:线上公开课(免费)
开始时间: 2014-03-18 20:00
结束时间: 2014-03-18 22:00
课程大纲:
1. 入门
2. 数据分析流程
3. 数据分析能力层次
4. 数据挖掘概念流程
5. 分类
6. 聚类
7. 预测
8. 关联
9 数据挖掘工具
10. 大数据挖掘
讲师介绍:
曾立平,有8年数据挖掘工作经验,擅长数据分析/挖掘,亚联数据挖掘专家。他曾主持和指导多个省份电信数据挖掘项目的开发,在数据挖掘实战方面有很丰富的经验。
更多公开课:http://www.osforce.cn/?qqun
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