Interactive Python Dashboards with Plotly and Dash

所在平台: Udemy

课程主页: https://www.udemy.com/course/interactive-python-dashboards-with-plotly-and-dash/

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**课程名称:**使用 Plotly 和 Dash 进行交互式 Python 仪表板 **课程概述:** 本课程将教您如何使用 Python 的 Plotly Dash 库创建交互式仪表板。您将学习使用 Numpy 和 Pandas 进行数据生成和处理,以及使用 Plotly 创建各种数据可视化图表,包括散点图、折线图、条形图、气泡图、箱线图、直方图、分布图、热力图等,并了解何时选择最合适的图表类型。 课程重点将放在使用 Dash 库创建交互式仪表板,包括仪表板布局设计、回调函数的编写、多输入输出的处理、交互式组件的创建等。最后,您将学习如何创建实时更新的仪表板,并将其部署到 Heroku 等 Web 服务上。 **课程亮点:** * **实战导向:** 学习从数据准备到仪表板部署的全过程。 * **全面内容:** 涵盖 Numpy、Pandas、Plotly 数据可视化基础以及 Dash 交互式仪表板的核心功能。 * **互动与支持:** 提供示例代码、教学视频、学生支持(聊天频道)、问答论坛和互动练习。 * **技能提升:** 掌握最前沿的 Python 数据可视化技术,为职业发展增添亮点。 * **证书与作品集:** 完成课程后可获得 LinkedIn 认证和一套仪表板项目作品集。 * **无风险承诺:** 30 天内无理由退款保证。 **学习目标:** * 熟练使用 Numpy 和 Pandas 进行数据操作。 * 掌握多种 Plotly 图表类型及其应用场景。 * 能够利用 Dash 库构建功能丰富的交互式仪表板。 * 学会实现仪表板的实时更新和 Web 部署。 **适合人群:** * 希望提升 Python 数据可视化技能的数据分析师、数据科学家、开发人员等。 * 对创建交互式 Web 仪表板感兴趣的个人。

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课程详情

Welcome to Python Visualization Dashboards with Plotly's Dash Library!This course will teach your everything you need to know to use Python to create interactive dashboard's with Plotly's new Dash library! Have you ever wanted to take your Python skills to the next level in data visualization? With this course you will be able to create fully customization, interactive dashboards with the open source libraries of Plotly and Dash.Dash instructional courses from Plotly usually cost more than $1000, but now you can get the bootcamp experience for a fraction of that price in this self-paced course that includes example code, explanatory videos, student support in our chat channels, Question and Answer Forums, and interactive exercises.We'll start off by teaching you enough Numpy and Pandas that you feel comfortable working and generating data in our quick crash course. Then we'll continue by teaching you about basic data visualization with Plotly, including scatter plots, line charts, bar charts, bubble charts, box plots, histograms, distribution plots, heat maps, and more! We'll also give you an intuition of when to use each plot type.After this and at the end of each section you'll be given exercise tasks to test and evaluate your new skills, a feature no other Plotly Dash training offers!Once you have a grasp on Plotly basics we'll move on to the bulk of the course which is utilizing the Dash library to leverage the power of plotly plots to create interactive dashboards. We'll discuss how to create layouts for dashboards, how to have interactive callbacks, dealing with multiple inputs and outputs, creating interactive components, and more!We'll finish off the course by going over live updating dashboards that automatically update in real time and even show you how you can deploy your dashboards live to the web with the Heroku service.By taking this course you will be learning the bleeding edge of data visualization technology with Python and gain a valuable new skill to show your colleagues or potential employers. After completing the course you will have a certification you can post to your LinkedIn profile and a portfolio of dashboard projects you can share as well.All of this comes with a 30 day money back guarantee, so what are you waiting for? Enroll today and we'll see you inside the course!

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