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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-with-pandas-and-numpy-in-python/
课程评论：没有评论
**Coursera课程总结：Python Pandas和NumPy数据分析** 本课程旨在帮助您掌握使用Python中强大的Pandas和NumPy库进行高效数据处理和分析的技能。\ 课程内容涵盖： * **第一课：数据处理入门** * 了解不同类型数据及数据清洗技术。\ * **第二课：NumPy入门** * 学习NumPy强大的N维数组和通用函数特性。\ * **第三课：Pandas数据结构** * 介绍Pandas的核心数据结构：Series和DataFrame。\ * **第四课：Pandas DataFrame操作** * 学习DataFrame的基本操作，如选择、过滤、排序等。\ * **第五课：Pandas高级函数** * 探索Pandas的高级功能，如合并、分组、聚合等。\ * **第六课：Pandas时间与时间序列** * 掌握Pandas处理日期和时间序列数据的能力。\ * **第七课：Pandas数据读写** * 学习如何使用Pandas读取和写入CSV、Excel等格式的数据。\ * **第八课：Pandas数据可视化** * 利用Pandas和相关库创建数据可视化图表。\ \ 课程包含大量动手练习和实践项目，以巩固所学知识。完成课程后，您将能够熟练运用Pandas和NumPy进行数据处理、分析和可视化。无论您是数据分析师、数据科学家还是数据爱好者，本课程都将助您提升数据技能。
This online course is designed to equip you with the skills and knowledge needed to efficiently and effectively manipulate and analyze data using two powerful Python libraries: Pandas and NumPy.In this course, you will start by learning the fundamentals of data wrangling, including the different types of data and data cleaning techniques. You will then dive into the NumPy library, exploring its powerful features for working with N-dimensional arrays and universal functions.Next, you will explore the Pandas library, which offers powerful tools for data manipulation, including data structures and data frame manipulation. You will learn how to use advanced Pandas functions, manipulate time and time series data, and read and write data with Pandas.Throughout the course, you will engage in hands-on exercises and practice problems to reinforce your learning and build your skills. By the end of the course, you will be able to effectively wrangle and analyze data using Pandas and NumPy, and create compelling data visualizations using these tools.Whether you're a data analyst, data scientist, or data enthusiast, this course will give you the skills you need to take your data wrangling and analysis to the next level.Content Table:Lesson 1: Introduction to Data WranglingLesson 2: Introduction to NumPyLesson 3: Data structure in PandasLesson 4: Pandas DataFrame ManipulationLesson 5: Advanced Pandas FunctionsLesson 6: Time and Time Series in PandasLesson 7: Reading and Writing Data with PandasLesson 8: Data Visualization with PandasPractice Exercises
