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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-ultimate-beginners-guide-to-data-analysis-with-pandas/
课程评论：没有评论
## 课程总结：《Pandas数据分析终极入门指南》 本课程是为零基础学习者量身打造的Pandas数据分析入门指南，旨在全面介绍Pandas库的核心概念和实用技术，帮助学员自信高效地处理和分析数据。 **课程主要内容：** * **第一部分：Series** * Pandas安装及Series（一维数据结构）的创建。 * 学习Series的切片、复制、iloc/loc访问、排序、过滤、数学运算及字符串操作。 * 深入探讨数值和类别分组、缺失值处理、函数应用及实际练习。 * **第二部分：DataFrame** * DataFrame（二维数据结构）的创建与探索。 * 掌握DataFrame的iloc/loc访问、行/列操作、重复值和缺失值处理、排序、高级过滤。 * 学习列的创建与操作、数据聚合、数据透视表、数据的合并与连接，以及导入导出技巧。 * 通过实践挑战巩固所学。 * **第三部分：数据可视化** * 利用Pandas进行数据可视化。 * 学习绘制折线图、条形图、饼图、散点图和直方图。 * 掌握图表格式化和子图的创建。 * 通过实践项目应用数据可视化技能。 **课程目标：** 完成本课程后，学员将掌握使用Pandas进行数据分析的实用技能，能够高效地处理、操作和解释真实世界的数据，应对各种数据科学挑战。课程强调动手实践，助力学员成为一名数据处理达人。
Welcome to the "Ultimate Beginners Guide to Pandas for Data Analysis" course, a comprehensive journey designed for beginners interested in exploring the Pandas library in the context of data analysis. This course has been carefully structured to provide a solid understanding of Pandas fundamentals and advanced techniques, empowering students to manipulate data with confidence and efficiency. Check out the modules and main topics below:Section 1: SeriesWe start with Pandas installation and the creation of Series, the essential one-dimensional structure for storing data. Throughout the module, we explore fundamental concepts such as slicing, copying, accessing with iloc and loc, sorting, filtering, mathematical operations, and string manipulations. We also cover advanced topics, including numerical and categorical grouping, handling missing values, functions, and practical challenges.Section 2: DataframeContinuing on, we delve into the creation and exploration of Dataframes, vital structures for analyzing more complex datasets. This module covers topics such as accessing with iloc and loc, manipulation of rows and columns, handling duplicate data and missing values, sorting, advanced filtering, creating and manipulating columns, aggregation, pivot tables, concatenation, joining, and import/export techniques. We include practical challenges to reinforce learning.Section 3: Data VisualizationIn the final module, we explore data visualization with Pandas. We cover the creation of line, bar, pie, scatter, and histogram plots, as well as formatting techniques and subplots. The module includes a practical challenge to apply the newly acquired skills in visualizing data.Upon completing this course, participants will be equipped with the practical skills necessary to effectively use Pandas in data analysis. Get ready for an hands-on learning experience, empowering you to tackle real-world challenges in data manipulation and interpretation.
