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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-manipulation-with-pandas-masterclass/
课程评论：没有评论
**Coursera课程总结：Pandas 数据处理大师班** 本课程是一门Pandas数据处理大师班，旨在快速教授您构建引人注目的分析和仪表板的理念与实践。无论数据集大小，您都将从零开始，快速掌握Pandas库的运行机制，并能在多种场景下灵活运用。 **课程亮点：** * **入门到精通：** 快速掌握Pandas，从零基础到理解其核心组件和多种应用场景。 * **核心概念：** 了解什么是表格数据及其来源。 * **数据导入导出：** 学习如何从多种数据格式加载和保存数据。 * **Pandas核心组件：** 深入理解Series和DataFrame这两个关键组件。 * **数据操作：** 掌握选择、分组和汇总数据的核心方法。 * **高级操作：** 学习创建数据透视表和执行split-apply-combine等复杂操作。 * **数据可视化：** 直接从Pandas创建使用Seaborn和Matplotlib的精美可视化图表。 * **理论与实践结合：** 课程包含50%的理论知识和50%的动手实践，提供包含练习和解决方案的实验环节。 * **即学即用：** 无需软件安装，可在Google Colab上直接运行代码，快速入门。 **为何选择Pandas？** Pandas是目前最知名的数据处理库，被数百万人日常用于分析和处理大规模数据集。它成熟、稳定、易于使用且文档详尽，是初学者和专业人士的理想选择。 本课程是学习Pandas最快捷的方式。
This masterclass introduces you to concepts and practices for building compelling analyses and dashboards on datasets of any size. It is designed to be self contained and to be consumed quickly in a single session. It will get you up to speed from zero knowledge of Pandas to understanding how the library operates and using it in several different scenarios.You will learn:What tabular data is and where you find itHow Pandas allows you to load from, and save to, multiple data formatsHow to use two main components of Pandas: the Series and the DataFrameThe main methods to select, group and summarize your data using PandasHow to perform complex operations such as pivot tables and split-apply-combineHow to create compelling visualizations using Seaborn and Matplotlib directly from PandasThe masterclass is designed to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice. It includes a lab with hands-on exercises and solutions.No software installation required. You can run the code on Google CoLab and get started right away.This class is the fastest way to get up to speed in Pandas.Why Pandas?Pandas is the most famous data manipulation library and it is used by millions of people every day to analyze and manipulate large datasets. It is mature, robust, easy to use and it has extensive documentation, so it's the perfect entry point for beginners and pros.
