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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-data-analysis-visualization/
课程评论：没有评论
**Coursera 课程总结：Python 数据分析与可视化** 此课程旨在帮助您熟练掌握 Python 编程语言，以及用于数据分析和可视化的关键库。课程内容分为三大核心部分： 1. **Python 基础：** 学习 Python 3 的核心概念，包括对象、变量、数据类型、控制流（条件语句和循环）、函数，以及如何使用外部库，为接下来的数据分析打下坚实基础。 2. **数据分析与处理：** 深入学习 **NumPy** 和 **Pandas** 库，掌握数据清洗、转换、合并、分组以及其他重要的数据分析和处理技巧。您还将了解如何连接到不同的数据源。 3. **数据可视化：** 学习使用 **Matplotlib**、**Seaborn** 和 **Plotly Express** 等库创建各种引人入胜的数据图表，直观地展示数据洞察。 **课程特色：** * **环境搭建：** 课程将指导您安装 Anaconda 发行版，并使用 Jupyter Notebooks 作为主要的开发环境。 * **多元学习方式：** 包含详细的讲解视频、代码演示、编程练习和测验。 * **实践挑战：** 提供四个专门的数据集挑战环节，让您有机会在实际场景中应用所学知识，深入理解和运用外部库。 * **持续学习：** 享受对所有课程讲座的终身访问权限，并可下载详细的 Notebook 资源。 * **适用人群：** 适合所有水平的学习者，不受操作系统限制。 本课程将带您全面掌握 Python 在数据分析与可视化领域的应用，提升您的数据处理和解读能力。
*This course requires you to download Anaconda. If you are a Udemy Business user, please check with your employer before downloading software.*Learn one of the most in demand programming languages in the world and master the most important libraries when it comes to analysing and visualizing data.This course can be split into 3 key areas:The first area of the course focuses on core Python3 and teaches you the essentials you need to be able to master the libraries taught in this courseThe second area focuses on analysing and manipulating data. You will learn how to master both NumPy and PandasFor the final part of the course you learn how to display our data in the form of interesting charts using Matplotlib, Seaborn and Plotly ExpressYou will be using Jupyter Notebooks as part of the Anaconda Distribution. Jupyter is the most popular Python IDE available.The course is packed with lectures, code-along videos, coding exercises and quizzes. On top of that there are numerous dedicated challenge sections that utilize interesting datasets to enable you to make the most out of these external libraries.There should be more than enough to keep you engaged and learning! As an added bonus you will also have lifetime access to all the lectures as well as lots of downloadable course resources consisting of detailed Notebooks.The aim of this course is to make you proficient at using Python and the data analysis and visualization libraries. This course is suitable for students of all levels and it doesn't matter what operating system you use.Curriculum summary:Set Up & InstallationCore PythonPython Objects, Variables and Data TypesControl Flow and LoopsFunctionsExternal LibrariesData Analysis LibrariesNumPyPandasConnecting to different Data SourcesVisualization LibrariesMatplotlibSeabornPlotly Express4 dedicated Challenge Sections!
