
这是一门面向数据可视化爱好者的课程。
它准备了当前上下文的实际练习,以便在 10 个小时的密集课程中更好地理解和应用。
在第一部分中,解释了数据可视化和图形显示技术的方法原理。作为练习,开发了使用 python、Plotly 和 express 子模块提取和部署 COVID-19 数据。
此外,该课程还包括使用 Plotly 方法表示地理数据的地理空间应用,并作为练习重建约翰·斯诺 (John Snow) 霍乱研究中的数据。
最后,探索了科学和统计图形及其通过动画代码的显示。作为最终项目,Leaflet 代码用于探索交互式地图。
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 39 lectures (10h 7m) | Size: 2.7 GB
Learn data science using python, plotly and leaflet
What you’ll learn:
Introduction to Data Visualisation
Data Types and Chart Types
Data Visaulization in Plotly
COVID Visualization in Plotly
Plotting Geographical Data in Plotly
John’s Cholera Graph
Scientific and Statistical Plots and animation
Interactive Maps using Leaflet
Requirements
Basic math skills
Basic to Intermediate Python Skills
Description
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.
Who this course is for
developers
gis and geospatial users
data researchers
Anyone interested in learning more about python, data science, or data visualizations
Anyone interested about the rapidly expanding world of data science

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