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所在平台: Udemy |
课程主页: https://www.udemy.com/course/analytics-dashboard-python/
课程评论：没有评论
课程名称：使用Python和Plotly创建数据分析仪表盘 概述：本课程将教您如何创建各种可视化效果，并构建一个美观的仪表盘来展示这些视觉效果。在课程的最后，您将学习如何为仪表盘添加额外的功能，并最终将其部署以实现生产能力。您将使用Plotly库创建多种类型的图表，并学习如何对其进行样式设置和更新。额外的功能将通过基本和高级回调来实现。例如，如果您希望显示多年的数据，本课程将教您如何添加一个滑块，根据输入值更新数据。此外，您还将简要了解Pandas和Numpy这两个库，它们用于操纵和计算数据。课程结束时，将提供所有代码和部署说明作为资源。作为一个实践案例，本课程将使用销售分析仪表盘作为示例，逐步讲解各个组件。 目标听众：本课程面向对数据分析、数据可视化和Python感兴趣的任何人，以及那些希望学习新知识的好奇者。课程适合初级到中级的Python学习者。如果您没有Python经验，欢迎您跟随学习，但建议您先参加一个初级Python课程。
In this course you will learn to create various visuals and construct an aesthetic dashboard to showcase the visuals. Towards the end of the course you will learn how to add additional functionality to the dashboard and finally deploy the dashboard for production capabilities. You will learn to create various types of charts using the library plotly, and how to style and update them. The added functionality will be created using advanced and basic callbacks. For instance if you want to display data for multiple years, this course will show you how to add a slider that will update the data based on the value of the input. You will also be introduced to a brief use of pandas and numpy, which are two libraries used for manipulating and performing calculations on data. All the code and the instructions for deployment will be added a resource at the end of the course. As a final note, this course will use a sales analytics dashboard as an example to walkthrough the various components. This course is targeted towards anyone who is interested in data analytics, data visualisation, python in general, and for those who are just curious to learn something new. The level of python needed for this course is beginner/intermediate. If you don't have any experience with python you are definitely welcome to follow along, however I recommend that you should take a beginners python course before taking this course.
