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所在平台: Udemy |
课程主页: https://www.udemy.com/course/fantastic-python-advanced-data-wrangling-with-pandas/
课程评论：没有评论
课程名称：高级数据分析与整理（Python Pandas） 课程概述：本课程是“精彩Python系列”的高级课程，专注于使用Python的pandas库进行数据操作和整理。Pandas是Python生态系统中最重要的包之一，数据科学家通常将80%的时间花在此上。因此，深入理解pandas的工作原理对于更有效和高效地进行分析至关重要。本课程提供了pandas功能的全面指南，涵盖了从基础知识到高级技能（如滚动窗口和时间序列重采样）的各个领域。课程针对来自IT、商业、金融等各个领域的数据科学家，教授如何有效地进行数据操作和整理，并避免潜在的陷阱。 课程的高级部分尤其适合处理时间序列数据（和面板数据）的分析师/科学家，因为pandas提供了丰富的时间序列计算功能，因此金融专业人士和物理学家将特别受益于此课程。课程从数据系列和数据框的基础知识开始，然后逐步深入中级数据操作，最终深入探讨高级数据整理主题，如复杂的groupby操作、精细的连接/合并以及从宽格式到长格式的转变，反之亦然。 最后，本课程将通过一个股市案例研究作为高潮，整合大部分（如果不是全部）关于pandas的知识，并分析真实世界的金融数据。
This course of the Fantastic Python Series is an advanced course on data manipulation and wrangling with the pandas package in Python. Pandas is one of the most important packages in the Python eco-system and it is where most data scientists spend 80% of their time on. It is essential to have a deep and complete understanding of how pandas work to conduct analysis more effectively and efficiently. This course offers a complete guide on all areas of Pandas functionalities, from the foundamentals, all the way to highly advanced and complex skills such as rolling windows and time series resampling. It will teach data scientists from all fields, including IT, business, finance, etc, how data manipulation and wrangling is done effectively in pandas and how to avoid potential pitfalls ("Gotchas"). The advanced parts of this course is particularly helpful for those analysts/scientists who work with time series data (and panel data) as the pandas offers an extensive array of features for time series calculations. So finance professionals and physists will find it especially relevant to their field of work.This course is proceeds from the foundations of data series and data frame, and then proceeds to intermediate level data manipulations, and eventually dive deep into advanced data wrangling topics such as complex groupby operations, sophisticated joins/merges and reshaping from wide format to long and vice versa.Finally, a stock market case study is offered as a capstone for this entire course. This case study will draw together most, if not all, areas of knowledge of pandas and analyze real-world financial data.
