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所在平台: Udemy |
课程主页: https://www.udemy.com/course/covid-19-urban-epidemic-modelling-in-python/
课程评论：没有评论
课程名称：COVID-19数据科学城市疫情建模与Python 概述：您是否希望学习如何在Python中创建空间动画可视化？是否想以真实城市的Covid-19冠状病毒疫情传播和人类流动性数据集为例进行学习？那么本课程就是为您准备的！您将学习如何使用基本的Python（3或更高版本）对城市中的Covid-19疫情传播进行建模，分析真实的城市流动数据，在Jupyter Notebook中运行疫情模拟，并在城市地图上创建精美的复杂动画可视化。我们将以亚美尼亚的首都耶烈万为例。Covid-19是使用Python进行空间分析和可视化的绝佳案例。完成本课程后，您将能够将课程中的技术应用于许多其他类型的空间数据分析和可视化项目。 假设您已经对Python的numpy和matplotlib库有基本的了解，我们将一步一步地通过使用真实的城市流动数据进行建模、模拟和可视化疫情的传播。在此过程中，您将学习许多技巧与窍门来提升您的Python编程技能，并制作更引人入胜和复杂的数据可视化。 课程内容包括以下几个部分： 1. 介绍部分，您将学习Python GeoPandas库及其在Jupyter Notebook中制作漂亮空间可视化的方法。 2. 理解空间流行病学模型，您将深入了解空间流行病学模型背后的数学原理。 3. 在Python中编码空间流行病学模型，您将学习如何使用Python和numpy编写高效的疫情模拟引擎代码。 4. 在城市中模拟Covid-19疫情，您将使用疫情模型代码和真实的城市流动数据集进行疫情模拟。 5. Covid-19城市时空可视化，您将运用所学知识在城市地图上创建美丽的动画空间可视化，展示病毒在城市中的传播情况。 本课程是一个动手实践的课程，确保您可以立即将所学技能应用到自己的项目中。通过学习空间建模、数据可视化和空间数据科学技能，您将为您的数据科学工具箱增添宝贵的技能。在此旅程中，我会随时帮助解答您的问题和疑虑，所以请不要犹豫，开始这个成功且令人满意的体验吧！
Interested in learning how to create spatial animated visualisations in Python? Want to learn it on the example of the Covid-19 coronavirus epidemic spreading in a real city with a real human mobility dataset? Then this course is for you!You will learn how to use basic Python (3 or higher) to model the Covid-19 epidemic spreading in a city, do data analysis of real urban mobility data, run simulations of the epidemic in Jupyter Notebooks, and create beautiful complex animated visualisations on a city map. We will do this using the example of Yerevan city.Covid-19 is a great case example for learning how to use Python for spatial analysis and visualisation. After completing this course you will be able to apply the techniques from this course to many other types of projects dealing with spatial data analysis and visualisation.Assuming just a basic familiarity with Python numpy and matplotlib libraries, we will go step-by-step through using real urban mobility data for modelling, simulating and visualising the spread of the epidemic in an urban environment. On the way, you will learn lots of tricks and tips for enhancing your Python coding skills and making even more compelling and complex data visualisations.The course consists of the following sections:Introduction, where you will learn about the Python GeoPandas library and how to use it for making nice spatial visualisations right in the Jupyter NotebookUnderstanding the spatial epidemiological models, in which you will get a firm intuition and a solid understanding of the maths behind the spatial epidemiological modelsCoding the spatial epidemiological model in Python, where you will learn how to use Python and numpy to write efficient code for the epidemic simulation engine Simulating the Covid-19 epidemic in a city, in which you will use the epidemic model code and a real dataset of urban mobility flows to run simulations of the Covid-19 epidemic in a cityCovid-19 urban spatio-temporal visualisation, where you will put all the acquired knowledge to create a beautiful animated spatial visualisation on a city map, showing how the virus spreads in the city!This course is a hands-on, practical course, making sure you can immediately apply the acquired skills to your own projects. The acquired spatial modelling, data visualisation, and spatial data science skills will be a valuable addition to your data science toolbox. I will be there for you throughout this journey for any questions and doubts, so don't hesitate to begin and have a successful and satisfying experience!
