|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/pandas-library-for-data-science-all-in-one/
课程评论：没有评论
**课程名称：** Pandas库用于数据科学（全方位） **课程概述：** 数据科学家通常将80%的时间用于数据查找、清洗和重组，而只有20%的时间用于构建机器学习算法。这主要是由于许多人仍然依赖Excel等图形化工具。然而，使用Python等编程语言可以显著缩短数据处理和就绪的时间。本课程将教授如何利用Python管理、清洗和组织海量数据，使您能够熟练运用Pandas库的核心数据分析功能处理各种数据集。 **课程亮点：** 数据科学是21世纪最热门的技能之一，众多组织正从Excel转向Pandas这一高级数据分析工具。本课程专为初学者设计，全面覆盖Pandas库的关键概念，包括数据处理、数据分析以及Pandas库的使用，旨在帮助您自信地进行高级数据处理任务。 **课程内容：** * Pandas库基础知识 * Pandas库各核心功能介绍 * 使用NumPy和Pandas创建自定义数据框 * 应用数据操作函数 * 查找缺失值 * 使用多种函数填充缺失值 * 应用统计函数
Data scientists spend only 20 percent of their time on building machine learning algorithms and 80 percent of their time finding, cleaning, and reorganizing huge amounts of data. That mostly happen because many use graphical tools such as Excel to process their data. However, if you use a programming language such as Python you can drastically reduce the time it takes for processing your data and make them ready for use in your project. This course will show how Python can be used to manage, clean, and organize huge amounts of data.By the end of this course, you will be able to apply all majority of Data analysis function on various different datasets with built in function available in pandasWhy this course?Data scientist is one of the hottest skill of 21st century and many organization are switching their project from Excel to Pandas the advanced Data analysis tool.This course is basically design to get you started with Pandas library at beginner level, covering majority of important concepts of data processing data analysis and a Pandas library and make you feel confident about data processing task with Pandas at advanced level.What is this course?This course coversBasics of Pandas libraryFunctions of pandas librarymaking your own data frame using Numpy and pandasapplying data manipulation functionsfinding the null values filling null values using various functionsapplying statistical functions
