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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-pandas-for-absolute-beginners/
课程评论：没有评论
Coursera 上的“Pandas 零基础入门”课程，旨在为 Pandas 库的初学者提供全面的指导。本课程从 Pandas 的核心数据结构—— Series 和 DataFrame——的介绍开始，涵盖数据导入导出、基础数据清洗（如处理缺失值、重命名列、数据过滤和排序）以及基本的数据统计和可视化操作。 课程将逐步深入到更高级的主题，包括数据合并与连接、groupby 操作、高级索引技术，以及时间序列数据的处理与分析。学员将通过接触真实数据集进行实践操作，完成一系列练习和项目，以巩固所学知识并将其应用于实际问题。 课程要求学员具备基础的 Python 编程知识。完成本课程后，学员将能够熟练运用 Pandas 进行数据分析与处理，为数据科学或数据分析领域的学习与职业发展打下坚实基础。
This course is designed for individuals with little or no experience with the Pandas library for Python. Pandas is a powerful and flexible open-source data analysis and manipulation tool that is widely used in data science and data analysis. This course will provide a comprehensive introduction to the library, starting with basic concepts and gradually building up to more advanced topics.The course will begin by introducing the basics of Pandas, including its data structures (Series and DataFrames) and the various ways to import and export data. You will learn how to perform basic data cleaning and preprocessing tasks, including handling missing values, renaming columns, and filtering and sorting data. You will also learn how to use Pandas to perform basic statistical operations and data visualization.As the course progresses, you will dive deeper into more advanced topics, such as merging and joining data, groupby operations, and advanced indexing techniques. You will also learn how to use Pandas to work with time series data, including how to handle and manipulate date and time data.Throughout the course, you will work with real-world data sets, giving you hands-on experience with the tools and techniques covered. You will also complete a number of practical exercises and projects, allowing you to apply what you've learned to real-world problems.By the end of this course, you will have a solid understanding of the Pandas library and be able to use it confidently to perform data analysis and manipulation tasks. Whether you're a beginner looking to start a career in data science or an experienced data analyst looking to improve your skills, this course is the perfect starting point.Prerequisites: This course is designed for absolute beginners, and it will be helpful if you have basic knowledge of Python programming.Course Outline:Introduction to PandasPandas Dataframes and SeriesIndexes in PandasConditional Filtering in Pandas Update Rows and Columns in Pandas Add/Remove Columns of DataMaster Data Sorting in PandasClean & Save DataFramesBy the end of this course, you will be able to:Understand the basics of the Pandas library and its data structuresImport and export data using PandasPerform basic data cleaning and preprocessing tasksUse Pandas to perform basic statistical operations and data visualizationMerge and join data using PandasUse the groupby function in PandasApply advanced indexing techniques in PandasWork with time series data using PandasApply your knowledge to real-world projects
