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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pandas-for-beginners/
课程评论：没有评论
**课程名称：** Pandas for Beginners **课程概述：** 本课程是为Pandas初学者设计的入门课程，重点介绍Pandas这一强大的Python数据分析库。Pandas提供了众多用于数据分析、清洗和操作的功能，同时拥有完善的文档，为学习者在数据分析过程中遇到的问题提供支持。 课程内容将涵盖Pandas的基础知识，并通过简单的实践练习带领学习者掌握以下核心技能： * 创建和使用Pandas DataFrame * 操作Pandas Series * 插入和删除列 * 利用Pandas Profiling进行数据概览（该工具能通过少量代码生成数据摘要报告） * 重命名和索引数据 * 查找唯一值 通过本课程，学习者将对数据处理、数据准备、排序、合并和数据清洗等技术有初步了解，并能够使用Pandas DataFrame将杂乱的数据转化为初步分析就绪的格式。Pandas是数据科学领域最广泛使用的Python库，其便捷高效的数据处理能力使其成为Google、Facebook、JP Morgan等众多大型企业数据科学家的首选工具。 **技术栈：** 本课程开发时使用Python 3。
Welcome to my course on Pandas for beginners. Pandas is a data analysis program built on Python.Interestingly, Pandas has lots of functions to help you analyze, clean and manipulate data. it also comes with great documentation to help programmers and learners when stuck while performing analysis on their data.This course is a very short course to get learners started with the basics in Pandas using or while exploring some of Pandas' very simple data manipulation and analysis methods.These are some simple exercises we would do in the lesson;Creating data frames and working with Pandas seriesInserting and dropping columnsPandas Profiling( This package is very useful since with just a few lines of codes, a generated summary report on your data is achieved).Renaming and Indexing dataFinding unique valuesGet excited about data manipulation, data preparation, sorting, blending, and data cleaning techniques with Pandas Data Frame to transform jumbled data into a final pre-analysis output. Pandas is the most widely used Python data science library for precisely this reason, and data scientists at Google, Facebook, JP Morgan, and virtually every other big company that analyzes data utilize Pandas.At the time of creating this contents, Python 3 was the python version used in the course development.
