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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-data-analysis/
课程评论：没有评论
**Coursera课程：使用Python进行数据分析** **课程概览：** 本课程适合希望学习Python数据分析的学员，提供扎实的Python基础，学习时间少于10小时。您将学习Python语言基础、语言元素、使用Numpy库进行多维数组处理，以及使用Pandas库处理业务数据。课程还将涵盖数据分析的工具和技术，并通过一个数据分析项目进行实践。 **课程内容：** * Python语言详解 * Python内部数据结构 * Python语言元素 * Pandas数据结构：Series和DataFrames * Python可视化 * 通过项目实践深入学习数据分析（EDA）技术 **课程重点掌握技能（利用Numpy和Pandas库）：** * **数据结构：** 掌握Numpy的优化数值数组和Pandas的Series、DataFrame，学习它们的创建、操作和应用。 * **数据清洗：** 学习使用Pandas处理缺失值、重复值和异常值。 * **数据聚合：** 掌握使用Pandas按变量分组并进行求和、计数、均值、标准差等聚合操作；学习使用Numpy对数组进行数学运算。 * **数据转换：** 学习使用Pandas进行数据重塑、合并和透视；掌握Numpy的数组切片、索引和变形操作。 **祝您学习愉快！**
Are you aspiring to learn Data Analysis using Python? if yes, then this course on Python will give you the right base, and that too in less than 10 hours.In this course, you will learn about the basics of the Python Language, Language Elements, Multidimensional Array Handling using the Numpy Library, handling business data using Pandas Library, etc.You will also learn the tools and techniques of Data Analysis followed by a Data Analysis Project.Course Sections:Python Language in DetailPython internal Data StructuresPython Language ElementsPandas Data Structure - Series and DataFramesPython VisualizationsData Analysis (EDA) Techniques covered exhaustively through Project workSome of the areas you will master using the powerful Numpy and Pandas Libraries in this course: Data Structures: Numpy provides arrays that are optimized for numerical operations, while Pandas provides two main data structures - Series and DataFrame. You will learn how to create, manipulate, and use these structures for data analysis.Data Cleaning: Pandas provides a range of functions to clean and preprocess data. You can learn how to handle missing data, remove duplicates, and deal with data outliers. Data Aggregation: Pandas provides functions to group data by one or more variables and perform various aggregation operations on the data such as sum, count, mean, and standard deviation. Numpy provides functions to perform mathematical operations on arrays such as sum, mean, max, min, etc.Data Transformation: Pandas provides functions for transforming data, including reshaping, merging, and pivoting data. Numpy provides functions for slicing and indexing arrays, and for reshaping and manipulating arrays.Happy Learning!
