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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pandas-basics/
课程评论：没有评论
课程名称：初学者数据分析速成课程（Pandas + Python） 概述：欢迎来到针对初学者的数据分析基础课程，使用Pandas和Python进行学习。本课程将帮助您理解数据分析的基本原理。您将学习到以下内容： 1. 数据分析的基本概念。 2. 如何使用Pandas、iPython和Jupyter Notebook。 3. Jupyter Notebook的重要命令。 4. 如何处理CSV、Excel、TXT、JSON文件和API响应。 5. 如何操作数据框（包括索引、切片、添加和删除数据）。 Pandas是一个开源库，为Python提供高性能、易用的数据结构和数据分析工具。Pandas为数据处理提供强大而全面的工具集，包括读取和写入多种文件、数据清理与整理、分析与建模以及可视化。Pandas在数据科学、金融、神经科学、经济学、广告、网络分析、统计学、社会科学和许多工程领域得到了广泛应用。 完成本课程后，您将对Pandas有良好的理解，并为未来深入探索数据分析做好准备。
Welcome to Data Analysis Basics with Pandas and Python - For Beginners,This course will help you to understand the fundamentals of Data Analysis with Python and Pandas library. You will learn,1. Fundamentals of Data Analysis.2. Working with Pandas, iPython, Jupyter Notebook.3. Important Jupyter Notebook Commands.4. Working with CSV, Excel, TXT, JSON Files and API Responses. 5. Working with DataFrames (Indexing, Slicing, Adding and Deleting).Pandas is an open-source library providing high-performance, easy-to-use data structures and data analysis tools for Python. Pandas provide a powerful and comprehensive toolset for working with data, including tools for reading and writing diverse files, data cleaning and wrangling, analysis and modelling, and visualization. Fields with the widespread use of Pandas include data science, finance, neuroscience, economics, advertising, web analytics, statistics, social science, and many areas of engineering.After completing this course you will have a good understanding of Pandas and will be ready to explore Data Analysis in-depth in future.
