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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-data-science-covid-19-and-cholera-pandemic-projects/
课程评论：没有评论
课程名称：数据科学 - 使用Python、Plotly和Leaflet - AulaGEO 课程概述：本课程专为数据可视化爱好者设计，通过实践练习帮助学员在10个小时内深入理解并运用数据可视化技术。课程分为多个模块，首先讲解了数据可视化的基本方法论及图表展示技术。学员将通过提取和处理COVID-19数据，学习使用Python和Plotly的基本应用。此外，课程还涉及地理数据的可视化应用，通过重建John Snow关于霍乱的研究数据，学员将掌握使用Plotly方法进行地理数据表示的技巧。最后，课程探讨科学和统计图形及其动画展示。在结业项目中，学员将使用Leaflet代码探索互动地图。 课程模块： 1. 数据可视化导论 - 数据可视化的定义与重要性 - 数据可视化的目标与理论 - 实践练习 2. 数据类型与图表类型 - 连续变量与直方图 - 时间序列与折线图 - 分类数据与条形图、饼图 - 变量对比练习 3. Plotly的数据可视化基础 - Plotly的基本知识与Express子模块 - 布局更新与自定义 - 实践练习 4. 项目1（COVID可视化） 5. Plotly中的地理数据绘图 - 分区图、线路图、填充区域图等 - 地图泡泡图与热图 - 小项目实践 6. Plotly中的高级主题 - 财务图表 - 三维图与子图 - 实践练习 7. 项目2（霍乱图的重建） 8. 科学与统计图形 - 等高线图、图像在Plotly中的应用、热图、三元图、对数图、统计图 9. Plotly中的动画 - 使用Plotly Express制作动画 - 帧与图形对象 - 折线图竞赛项目 10. 项目3（使用Leaflet探索互动地图） 通过这个综合性的课程，学员将掌握多种数据可视化技术，从基本的图形展示到高级动画效果，适合于希望提升数据分析与可视化能力的学习者。
This is a course for data visualization lovers.It has been prepared with practical exercises of the current context for its better understanding and application in a 10 intensive hours.In a first section, the methodological principles on data viz and graphic display techniques are explained. As an exercise, the extraction and deployment of COVID-19 data using python, Plotly and express submodule is developed.Additionally, the course includes the geospatial application for the representation of geographic data using Plotly's methods, and as an exercise the data from John Snow's research on cholera is reconstructed.Finally, scientific and statistical graphics and their display through animation code are explored. As a final project, the Leaflet code is used to explore interactive maps.#AulaGEOSection 1: Module. 1 Introduction to Data Visualisation1. Introduction to data visualization2. Why bother about it3. Objectives of Data Visualisation4. Theory of Data Vis5. PracticeSection 2: Module. 2 Data Types and Chart Types6. Continuos Variables and Histogram7. Time Series and Line Chart8. Categorical Data and bar chart9. Categorical Data Type and pie chart10. Pair of Continous variables11. One Continuous and One Categorica12. Pair of Categorical Variable13. PracticeSection 3: Module. 3 Data Visaulization in Plotly14. Fundamentals of Plotly15. Plotly and Express submodule16. Updating and Customizing Layout17. PracticeSection 4: Module. 4 Final Project 1 (COVID Visualization in Plotly)18. Project 1Section 5: Module. 5 Plotting Geographical Data in Plotly19. Choropleth Maps20. Line on Maps21. Filled and Point areas22. Maps with Bubbles23. Maps with Heatmap24. Mini ProjectSection 6: Module. 6 Some Advanced Topics in Plotly25. Financial Charts26. Three D plots in Ploty27. Subplots in Ploty28. PracticeSection 7: Module. 7 Final Project 2 (John's Cholera Graph)29. Project Cholera Ghost MapSection 8: Module. 8 Scientific and Statistical Plots30. Contour Plots31. Image in Plotly32. Heat Map33. Ternary Plots34. Log Plots35. Statistical PlotsSection 9: Module. 9 Animation in Plotly36. Animation Using Plotly Express37. Frames and Graph Objects38. Line Chart Race ProjectSection 10: Module. 10 Final Project 3 ( Exploring Interactive Maps using Leaflet)39. Final Project on Chipotle
