一、Excel

10-15-1

10-15-2

10-15-3

10-15-4

10-16-1

10-16-2

10-16-3

10-16-4

10-17-1

10-17-2

10-17-3

10-17-4

10-18-1

10-18-2

10-18-3

10-19-1

10-19-2

10-19-3

二、MySQL

10-22-1

10-22-2

10-22-3

10-22-4

10-22-5

10-23-1

10-23-2

10-23-3

10-23-4

10-23-5

10-23-6

10-24-1

10-24-2

10-24-3

10-24-4

10-25-1

10-25-2

10-25-3

10-26-1

10-26-2

10-26-3

10-26-4

三、统计

11-6-1

11-6-2

11-6-3

11-6-4

11-6-5

11-6-6

11-6-7

11-7-1

11-7-2

11-7-3

11-7-4

11-7-5

11-7-6

11-8-1

11-8-2

11-8-3

11-8-4

11-8-5

11-8-6

11-9-1

11-9-2

11-9-3

11-9-4

11-9-5

四、SPSS

11-12-1

11-12-2

11-12-3

11-12-4

11-12-5

11-13-1

11-13-2

11-13-3

11-13-4

11-13-5

11-14-1

11-14-2

11-14-3

11-14-4

11-14-5

11-15-1

11-15-2

11-15-3

11-15-4

11-15-5

11-16-1

11-16-2

11-16-3

11-16-4

11-16-5

五、Python

10-29-1

10-29-2

10-29-3

10-29-4

10-29-5

10-30-1

10-30-2

10-30-3

10-30-4

10-30-5

10-31-1

10-31-2

10-31-3

10-31-4

10-31-5

11-1-1

11-1-2

11-1-3

11-1-4

11-1-5

11-2-1

11-2-2

11-2-3

11-2-4

11-2-5

11-3-1

11-3-2

11-3-3

11-3-4

11-3-5

11-4-1

11-4-2

11-4-3

11-4-4

11-4-5

11-18-1 numpy

11-18-2 数组数据类型

11-18-3 数组运算

11-18-4 使用numpy进行统计分析

11-19-1 matplotlib1

11-19-2 matplotlib2

11-19-3 matplotlib3

11-19-4 应用案例

11-20-1 渲染图表

11-20-2 案例

11-20-3 pandas

11-20-4 dataframe

11-20-5 pandas数据读写

11-24-1 numpy作业讲解

11-24-2 dataframe行索引

11-24-3 索引与过滤

11-24-4 缺失值过滤

11-24-5 数据整理

11-25-1 pandas时间序列分析

11-25-2 数据集的合并与重塑

11-25-3 透视表与交叉表

11-25-4 案例分析-欧洲人口普查

11-25-5 案例分析2

11-27-1

11-27-2

11-27-3

11-27-4

11-27-5

11-28-1

11-28-2

11-28-3

11-28-4

11-29-1

11-29-2

11-29-3

11-29-4

11-29-5

11-30-1

11-30-2

11-30-3

11-30-4

11-30-5

12-1-1

12-1-2

12-1-3

12-1-4

12-3-1

12-3-2

12-3-3

12-3-4

12-3-5

12-4-1

12-4-2

12-4-3

12-4-4

12-4-5

12-5-1

12-5-2

12-5-3

12-5-4

12-5-5

12-5-6

12-5-7

12-9-1

12-9-2

12-9-3

12-9-4

12-10-1

12-10-2

12-10-3

12-10-4

12-10-5

12-16-1

12-16-2

12-16-3

12-16-4

12-16-5

12-16-6

12-17-1

12-17-2

12-17-3

12-17-4

12-17-5

12-22-1

12-22-2

12-22-3

12-22-4

12-22-5

12-23-1

12-23-2

12-23-3

12-23-4

12-28-1

12-28-2

12-28-3

12-28-4

12-28-5

12-29-1

12-29-2

12-29-3

12-29-4

六、面试技巧

1-2-1

1-2-2

1-2-3

1-2-4