file:Z.jpg file:Thumbs.db file:雅坊美工11.ttf file:迷你简行楷.ttf file:超世纪粗印篆.ttf file:蒙纳超刚黑.otf file:苏新诗卵石体.ttf file:GenJyuuGothic-Regular（源柔ゴシック）.ttf file:GenJyuuGothic-P-Medium.ttf

file:9.9数据透视图（二）.mp4 file:9.7图表结合.mp4 file:8.9切片器操作及简单练习.mp4 file:8.8刷新、更改数据源.mp4 file:8.6排序与筛选（一）.mp4 file:8.5报表布局、分类汇总、总计.mp4 file:8.4如何设置数据透视表的格式、风格.mp4 file:8.2观察数据及创建数据透视表.mp4 file:8.13例题练习.mp4 file:8.12设置数值计算方式与自定义计算项.mp4 file:7.6Power BI（二）.mp4 file:7.3数据仓库系统.mp4 file:66.9推荐系统、场景与协同过滤.mp4 file:66.8Product Performance与RFM.mp4 file:66.7Cohort Analysis、群体分析或分组分析（三）.mp4 file:66.4如何计算lifetime value及用户留存.mp4 file:66.3LTV，CAC及CLV.mp4 file:66.2Place，Web Traffic，DAU与数据埋点.mp4 file:66.1基于顾客的数据探索.mp4 file:66.16推荐网站：kaggle.mp4 file:66.15课程答疑与图书推荐.mp4 file:65.9多角度分析数据.mp4 file:65.8分析订单及支付流程.mp4 file:65.7SPU与SKU概念解释.mp4 file:65.5数据导入与数据脱敏介绍.mp4 file:65.4零售机器模式与cohort分析.mp4 file:65.3零售“大作业”：时尚电商.mp4 file:65.2课程总回顾—所需技能、类型方法及工具.mp4 file:65.1课程总回顾—商业数据分析流程.mp4