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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-pandas-for-data-handling/
课程评论：没有评论
课程名称：掌握 Pandas 数据处理 [2025] 概述：本视频课程将教授您掌握 Pandas，这是现存最强大、高效和有用的数据处理库。您将学习使用 Pandas 库以及强大的数据处理技术，使您能够在数据科学和机器学习的数据处理任务中应用这一强大的工具。Pandas 提供了一个快速、灵活、易于使用的开源数据分析和数据操作工具，可以与 Python 编程语言直接使用，并能够利用强大的 Pandas DataFrame 对象处理任何数据源。该课程已更新至 Pandas 2 版本，并将涵盖即将发布的 Pandas 3 版本。 您将学习到： - 掌握 Pandas 库进行高级数据处理 - Pandas DataFrame 对象的基本概念和语言 - 修改、变更和选择 Pandas DataFrame 数据的所有方面 - 使用 Pandas 库进行文件处理 - 使用 .concat()、.join() 和 .merge() 函数/方法合并 Pandas DataFrame 对象 - 数据的缩放和标准化 - 使用 Pandas 进行高级数据准备，包括基于模型的缺失数据插补 - 使用 Pandas 进行高级数据描述，包括交叉表、分组和描述性统计 - 使用 Pandas、Matplotlib 和 Seaborn 进行数据可视化 - 云计算：使用基于网页的 Anaconda Cloud Notebook（基于云的 Jupyter Notebook） - 可选：使用 Anaconda 发行版（Windows、Mac、Linux 等） - 可选：使用 Conda 包管理系统和命令行安装/更新库和软件包的 Python 环境基础知识，提升工作效率 课程旨在帮助任何希望掌握 Pandas 和数据处理技术的人，尤其适合： - 熟悉 Python 编程基础并希望学习 Pandas 库的人 - 大学新生希望获得在数据科学、工程或学术生涯中使用的数据处理技能 - 了解数据科学或机器学习并希望掌握数据处理技能的人 - 希望提升高级数据处理能力和生产力的人 要求： - 建议具备使用计算机（Windows、MacOS、iOS、Android、ChromeOS 或 Linux）的日常经验 - 基础 Python 知识 - 具备加减乘除的基本计算能力 - 需访问互联网并使用免费软件 - 包含对 Windows 10/11 的安装和设置视频指导 本课程是我们自己希望能够报名参加的课程，被认为是学习掌握 Pandas 和数据处理的最佳选择。立即报名，您将获得超过 12 小时详细的视频教程，以及完整课程后的结业证书！
This video course will teach you to master Pandas, the most powerful, efficient, and useful Data Handling library in existence. You will learn to master the Pandas library and to use powerful Data Handling techniques with the intention of making you able to use the powerful Pandas library for Data Science and Machine Learning Data Handling tasks.With the Pandas library you get a fast, powerful, flexible and easy to use, open-source data analysis and data manipulation tool, directly usable with the Python programming language and able to use any data source with the incredibly powerful Pandas DataFrame object.This video course is updated to Pandas 2 and the announced upcoming Pandas 3 version.You will learn:Master the Pandas library for advanced Data HandlingThe fundamental concepts and language of the Pandas DataFrame objectAll aspects of changing, modifying and selecting Data from a Pandas DataFrameFile handling with the Pandas libraryUse the.concat(),.join(), and.merge() functions/methods to combine Pandas DataFrame objectsScale and Standardize dataAdvanced Data Preparation with Pandas, including model-based imputation of missing dataMake advanced Data Descriptions with Pandas, including cross-tabulations, groupings, and descriptive statisticsMake Data Visualizations with Pandas, Matplotlib, and SeabornCloud Computing: To use the web browser-based Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud Computing resources in this course.Option: To use the Anaconda Distribution (Windows, Mac, Linux, and more)Option: Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages - golden nuggets to improve your quality of work life.And much more…This course is an excellent way to learn to Master Pandas and Data Handling! Data Handling is the process of making data useful and usable for data analysis. Most Data Scientists and Machine Learners spends about 80% of their working efforts and time on Data Handling tasks. Being good at Data Handling and Pandas is extremely useful and time-saving skills that functions as a force multiplier for productivity.This course is designed for anyone who wants toAnyone who knows the basics of Python programming and want to learn the Pandas library!Anyone who is a new student at the University level and want to learn Data Handling skills that they will have use for in their entire data science, engineering or academic careers!Anyone who knows Python and wants to extend your knowledge of the Pandas library and Data Handling!Anyone who knows about Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know!Anyone who wants to learn advanced Data Handling and improve their capabilities and productivityRequirements:Everyday experience using a computer with Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommendedBasic Python knowledge is recommendedThe four ways of counting (+-*/)Access to a computer with an internet connectionThe course only uses costless softwareWalk-you-through installation and setup videos for Windows 10/11 is includedThis course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn to Master Pandas and Data Handling.Enroll now to receive 12+ hours of detailed video tutorials with manually edited English captions, and a certificate of completion after completing the course!
