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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-pandas-exploratory-data-analysis-for-beginners/
课程评论：没有评论
课程名称：Python中的数据分析：初学者的Pandas速成课程 课程概述： 如果你对使用Python进行探索性数据分析感兴趣但没有编程经验，想要摆脱电子表格和Excel却不知道从何开始，或者想通过编程工具创建有趣的数据可视化却感到无从下手，那么这个课程就是为你准备的。该课程专为完全初学者打造，旨在教你如何使用Python及其数据科学工具来分析、绘图并从数据中获取见解。课程内容假设学员没有任何编程经验，从Python的基础知识学起，逐步教你有效处理数据所需的所有Python技能。 你将学习到： - 使用Anaconda安装Python - 在Anaconda中设置虚拟环境 - 使用Jupyter Notebooks，充分发挥其功能 - 掌握Python的基本概念 - 使用变量 - 处理数据结构，如列表和字典 - 在Python中使用函数 - 将模块导入Jupyter Notebook 课程涵盖了Python中重要的数据科学模块： - Numpy - Pandas - Matplotlib 你将学习如何使用Numpy数组和Pandas数据框。课程还会教你如何在自己的项目中解决问题和寻找帮助。课程在介绍基础知识后，专注于项目实践，涵盖了将数据加载到笔记本中、探索数据和进行可视化的实际应用。例如，你将分析Covid-19数据集，绘制病例数并在地图上标出病例发生地；使用Matplotlib绘制股价变化；使用Pandas合并两个数据集以查找和可视化英国最大的能源消费地点。此外，其中一个项目将引导你了解SQLite和Plotly的基础知识。 通过完成本课程，你将对如何使用Python进行数据分析有很好的理解。
Are you interested in using python for exploratory data analysis but have never programmed before?Would you like to move away from spreadsheets and excel but don't know how?Would you like to create interesting data visualisations using programming tools but don't know where to start?If you're interested in learning these skills then this course is aimed at you. This is a course for complete beginners and will teach you how to use python and its data science tools to analyse, plot and gain insight from data.The course assumes absolutely no programming experience and starts by introducing you to python and teaching you all the python you need to know for data analysis. It takes you step by step, teaching all the python necessary to work effectively with data.You will learn how to:Install python using AnacondaSet up virtual environments in AnacondaWork with Jupyter Notebooks and how to really get the best from themMaster the fundamentals of pythonWork with variablesWork with data structures, such as lists and dictionariesWork with functions in pythonImport modules into a Jupyter NotebookWe cover the important data science modules in python. These are:NumpyPandasMatplotlibYou will learn how to work with Numpy arrays and Pandas dataframes.You will also learn how to problem solve and find help when you're working on your own projects.After introducing the essential fundamentals the course focus on projects. We cover the practical aspects of loading data into your notebook, exploring that data and visualizing it too. you will look at and analyse Covid 19 data sets, you will plot case numbers and plot where the cases occurred on a map.You will use matplotlib to plot share prices and you will use pandas to combine two datasets to find and visualize the location of the UK's biggest energy consumers.One of the projects will introduce you to the basics of SQLite and plotly.By the time you finish working through this course you will have an excellent grasp of how to use python for data analysis.
