February 2017
Advanced
2h 29m
Chinese
Overview
本课程为数据分析人员、数据科学家提供Python和pandas的实用介绍，这些分析工具可以将你从电子表格程序（如Excel等）带入自动化的数据分析工作流程中。
在这个视频课程中，丹尼尔首先介绍了Python和Pandas，以及它们为什么会成为数据分析方面很好用的工具。首先介绍了安装和启动Python，随后将介绍了使用Python和pandas处理数据集的基本知识，然后是绘图和可视化、数据组装和操作、缺失数据和整理数据。看完这个视频课程后，数据分析人员和数据科学新手们将会真正理解为什么Python和pandas在当今数据科学家中如此受欢迎，并且应该能够开始创建自动化的数据工作流。
● 安装和启动Python；
● 将数据集加载到Pandas中，并学会评估和分析它们；
● 使用panda数据结构来导入/导出数据；
● 组合多个数据集；
● 处理缺失数据；
● 整理和重塑数据
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