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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-complete-geospatial-data-science-with-python/
课程评论：没有评论
课程名称：完整的Python地理空间数据科学课程 课程概述：本课程旨在帮助学习者掌握地理空间数据科学的基础知识，并提升其编程技能。学习地理信息系统（GIS）和地理空间数据分析的编程可能令人感到困惑，尤其是在缺乏有组织的资源和教程时。作为一名曾经历过从GIS转向地理空间数据科学的人，我明白在没有针对性的地理空间数据科学课程的情况下，花费了多年时间在不同的资源和材料上摸索。因此，我设计了这个课程，以帮助你开启地理空间数据科学的职业生涯，并确保能够掌握基础知识。 课程内容包含以下几个部分： 1. **基础知识**：从Python的基础知识入手，创建一个互动地理问答（Geo Quiz）和基于网页的地理应用程序。课程设置为初学者友好，确保学习过程顺畅。 2. **基本概念**：以通俗的语言解释Python语法和数据结构，并结合地理相关的实例。完成此部分后，你将创建一个简单的命令行游戏：猜城市。 3. **几何学**：学习和掌握所有地理空间Python处理的基础——几何学。你将学习使用Shapely和Fiona库处理地理空间数据，这将为你理解其他高级地理空间库打下基础。完成此模块后，你将创建一个Tkinter界面，用于"猜国家"游戏。 4. **使用Geopandas的矢量数据**：学习最广泛使用的地理空间库Geopandas，在几何基础上，结合使用数据科学中常用的Pandas库，扩展地理空间功能。完成此模块后，你将进行一个真实世界工作申请场景的地理空间矢量分析项目。 5. **Raster Data与Rasterio**：介绍Python中的遥感基础知识，帮助你掌握卫星图像处理的各个方面。 本课程是一门全面的课程，教授地理空间数据科学职业生涯的基础知识。
Learn the fundamentals and Grow your Geospatial data science programming skills.Learning Programming for GIS and Geospatial data analysis can be overwhelming, especially learning from unorganized resources and tutorials. I know that because I have made the transition from GIS to geospatial data science earlier. It took me many years to grapple with different resources and materials for data science without having a tailored Geospatial data science course. That is why I have made this course to help you kickstart your geospatial data science career and learn the basics right.I have structured the course to be beginner-friendly to make sure a smooth learning experience. I am starting with Python's fundamentals to create an Interactive Geography Trivia (Geo Quiz) and Web-based Geoapplications.The Tools: We set up your environment quickly with few clicks, so you do not have to worry about missing libraries.The Basics: Python Syntax and data structures explained in plain language with geography flavoring examples. By the end of this section, you will create a simple command-line game: guess the city.Geometry: Learn and master the basics of all geospatial python processes - geometry. You will learn Shapely and Fiona libraries for handling geospatial data, and this will give you a low-level understanding of the underpinning of all other high geospatial libraries. By the end of this module, you will create a Tkinter Interface for Guess the Country Game.Vector data with Geopandas: Learn the most widely used Geospatial library - Geopandas. Open up whole other geospatial functionality on top of the Geometry also using Pandas library, one of the most used data science libraries. By the end of this module, you will undertake a Geospatial Vector analysis project from a real-world job application scenario.Raster Data with Rasterio: We introduce here the basics of Remote sensing in Python and help you master the ins and outs of satellite imagery processing in Python.The course is a comprehensive course that teaches you the fundamentals of a career in Geospatial data science.
