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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-pandas-and-python-for-data-handling/
课程评论：没有评论
课程名称：掌握Pandas和Python的数据处理 [2025] 课程概述：该视频课程将帮助您全面掌握Python 3、Pandas 2-3以及数据处理技巧。Python 3是全球最流行的编程语言之一，而Pandas 2及未来的版本是最强大、最高效、最实用的数据处理库。课程内容包括Python的基本构建模块和面向对象编程的深入学习，设计高级构建模块并执行详细的数据处理任务。此外，您将精通Pandas库及其在高级数据科学、统计学和机器学习中的数据处理技巧。 您将学习到： - 掌握Python编程，包括数据结构、数据转换、函数、面向对象及逻辑设计 - 使用和设计高级Python构件，执行详细的数据处理任务，包括文件处理 - 利用Python的高级面向对象编程，创造自定义对象和函数 - 操纵数据并使用多维不均匀数据结构 - 精通Pandas库及其高级数据处理技巧 - 理解Pandas库的基本语言和概念，操作DataFrame对象的创建、修改和选择 - 使用Pandas进行文件处理，并结合concat、join和merge等方法 - 执行高级数据预处理，包括缺失数据插补、数据标准化等 - 制作高级数据描述与统计，包括排序、交叉表、透视表等 - [附加内容] 使用Pandas、Matplotlib和Seaborn进行高级数据可视化 - 在云计算环境（如Anaconda Cloud Notebook）中进行高级数据处理 课程适合想要： - 从零开始学习Python 3或具备其他编程语言基础的人 - 达到Python编程的中高级水平，以满足许多高级课程的要求 - 学习Python的数据处理及Pandas库的应用 - 掌握在整个职业生涯中都能用到的数据处理技能 课程要求： - 建议具备电脑使用基础，支持Windows、MacOS、iOS、Android、ChromeOS或Linux - 访问互联网的电脑 - 无需编程经验，我们将教授您所需的所有内容 - 本课程只使用免费软件，并提供云计算和Windows 10/11的安装与设置视频 本课程是我们自己想要注册的课程，适合任何想要掌握Python、Pandas和数据处理的人士。现在就报名，获取25+小时的视频教程，以及完成课程后的证书！
This two-in-one video course will teach you to master Python 3, Pandas 2-3, and Data Handling.Python 3 is one of the most popular programming languages in the world, and Pandas 2 and future 3 is the most powerful, efficient, and useful Data Handling library in existence.You will learn to master Python's native building blocks and powerful object-oriented programming. You will design your own advanced constructions of Python's building blocks and execute detailed Data Handling tasks with Python.You will learn to master the Pandas library and to use its powerful Data Handling techniques for advanced Data Science, Statistics, and Machine Learning Data Handling tasks. The Pandas library is a fast, powerful, flexible, and easy-to-use open-source data analysis and data manipulation tool, which is directly usable with the Python programming language.You will learn to:Master Python programming with Python's data structures, data transformers, functions, object orientation, and logicUse and design advanced Python constructions and execute detailed Data Handling tasks with Python incl. File HandlingUse Python's advanced object-oriented programming and make your own custom objects, functions and how to generalize functionsManipulate data and use advanced multi-dimensional uneven data structuresMaster the Pandas library for Advanced Data HandlingUse the language and fundamental concepts of the Pandas library and to handle all aspects of creating, changing, modifying, and selecting Data from a Pandas DataFrame objectUse file handling with Pandas and how to combine Pandas DataFrames with Pandas concat, join, and merge functions/methodsPerform advanced data preparation including advanced model-based imputation of missing data and the scaling and standardizing of dataMake advanced data descriptions and statistics with Pandas. Rank, sort, cross-tabulate, pivot, melt, transpose, and group data[Bonus] Make advanced Data Visualizations with Pandas, Matplotlib, and SeabornPerform Advanced Data Handling[Cloud computing]: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources.Option: To use the Anaconda Distribution (for Windows, Mac, Linux)Option: Use 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 Python, Pandas and Data Handling! Data Handling is the process of making data useful and usable for data analysis. Most Data Scientists and Machine Learning Engineers spends about 80% of their working efforts and time on Data Handling tasks. Being good at Python, Pandas, and Data Handling are extremely useful and time-saving skills that functions as a force multiplier for productivity.This course is designed for anyone who wants to:learn to Master Python 3 from scratch or the beginner levellearn to Master Python 3 and knows another programming languagereach the Master - intermediate Python programmer level as required by many advanced Udemy courses in Python, Data Science, or Machine Learninglearn Data Handling with Pythonlearn to Master the Pandas librarylearn Data Handling skills that work as a force multiplier and that they will have use of in their entire careerlearn advanced Data Handling and improve their capabilities and productivityRequirements:Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommendedAccess to a computer with an internet connectionProgramming experience is not needed and you will be taught everything you needThe course only uses costless softwareWalk-you-through installation and setup videos for Cloud computing and 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 Python, Pandas, and Data Handling.Enroll now to receive 25+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course!
