开始时间: 06/21/2022 持续时间: Approximately 6 months to complete Suggested pace of 7 hours/week
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所在平台: Coursera专项课程 课程类别: 计算机科学 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/gis
课程评论：没有评论
Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.
地理信息系统（GIS）专业知识：地理信息系统（GIS）知识在从农业到公共卫生的行业中越来越受欢迎。与ArcGIS开发人员Esri合作提供的本专业课程将教授在专业环境中成功使用GIS软件所需的技能。您将学习如何分析空间数据，如何使用制图技术在地图中传达您的结果，以及如何与GIS和GIS相关领域的同行进行协作。在最后的Capstone项目中，您将结合数据识别和收集，分析地图开发以及空间分析技术来创建专业质量的GIS产品组合。Course: 1
Course Link: https://www.coursera.org/learn/gis?specialization=gis
Title:Fundamentals of GIS
Description:Explore the world of spatial analysis and cartography with geographic information systems (GIS). In this class you will learn the basics of the industry’s leading software tool, ArcGIS, during four week-long modules:
Course: 2
Course Link: https://www.coursera.org/learn/gis-data?specialization=gis
Title:GIS Data Formats, Design and Quality
Description:In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules:
Course: 3
Course Link: https://www.coursera.org/learn/spatial-analysis?specialization=gis
Title:Geospatial and Environmental Analysis
Description:Apply your GIS knowledge in this course on geospatial analysis, focusing on analysis tools, 3D data, working with rasters, projections, and environment variables. Through all four weeks of this course, we'll work through a project together - something unique to this course - from project conception, through data retrieval, initial data management and processing, and finally to our analysis products.
Course: 4
Course Link: https://www.coursera.org/learn/gis-applications?specialization=gis
Title:Imagery, Automation, and Applications
Description:Welcome to the last course of the specialization (unless your continuing on to the capstone project, of course!).
