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所在平台: Udemy |
课程主页: https://www.udemy.com/course/geospatial-apis-for-data-science-applications-in-python/
课程评论：没有评论
课程名称：Python中的地理空间API数据科学应用 课程概述：本课程将教授如何通过应用编程接口（API）获取和使用免费的地理空间数据，运用数据科学技巧进行分析。如果您已参加我的GIS和遥感相关课程，或具有GIS、R和QGIS等工具的经验，并希望快速分析大规模的地理空间数据，实施遥感数据上的机器学习模型，同时不想花费高昂的费用购买商业软件进行图像分析，那么这门课程非常适合您。课程将帮助您掌握如何从不同来源（如Foursquare和Google Earth Engine）获取多达数千亿字节的卫星影像和地理空间数据集，并使用数据科学技术进行分析。 本课程是一门实践导向的培训项目，重点在于使用Google Earth Engine进行真实的遥感和GIS数据分析，这是一个强大的支持地球科学数据与分析的云平台。课程内容包括在图像数据上实施机器学习模型，由谷歌的云基础设施提供支持。通过参加此课程，您将迈出成为地理空间分析专家的重要一步。 为什么选择我的课程？我拥有英国牛津大学地理与环境专业的硕士学位，以及剑桥大学热带生态与保护专业的博士学位。多年来，我积累了分析真实空间地理数据的丰富经验，并在国际同行评审的期刊上发表过多篇论文。课程中将真实的地理空间数据与数据科学和机器学习相结合，解答现实生活中的问题，如餐厅的最佳选址或一个区域社会经济动态的变化。 此外，本课程将确保您在实践中学习和应用地理空间数据分析，并提高使用API获取数据和从中获得有价值见解的能力。课程内容较为全面，重点学习在地理空间数据上应用的数据科学技术。您将获得我的持续支持，以确保您充分利用您的投资！立即报名参加！
ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT OBTAINING AND WORKING WITH WITH FREE GEOSPATIAL DATA OBTAINED VIA APPLICATION PROGRAMMING INTERFACES (APIs) USING DATA SCIENCE TECHNIQUES.Are you currently enrolled in any of my GIS and remote sensing related courses?Or perhaps you have prior experiences in GIS or tools like R and QGIS?You want to quickly analyse large amounts of geospatial dataImplement machine learning models on remote sensing dataYou don't want to spend 100s and 1000s of dollars on buying commercial software for imagery analysis?You want to have access to a multi-petabyte catalogue of satellite imagery and geospatial datasets with planetary-scale analysis capabilities The next step for you is to gain proficiency in obtaining free geospatial datasets from a variety of sources, from Foursquare to Google Earth Engine via their Python-friendly APIs and analyse these using data science techniquesMY COURSE IS A HANDS-ON TRAINING WITH REAL REMOTE SENSING AND GIS DATA ANALYSIS WITH GOOGLE EARTH ENGINE- A planetary-scale platform for Earth science data & analysis; including implementing machine learning models on imagery data, powered by Google's cloud infrastructure.!My course provides a foundation to carry out PRACTICAL, real-life remote sensing and GIS analysis tasks in this powerful cloud-supported platform. By taking this course, you are taking an important step forward in your GIS journey to become an expert in geospatial analysis.Why Should You Take My Course?I have an MPhil (Geography and Environment) from the University of Oxford, UK. I also completed a PhD at Cambridge University (Tropical Ecology and Conservation).I have several years of experience in analyzing real-life spatial geospatial data from different sources and producing publications for international peer-reviewed journals.In this course, actual geospatial data obtained via Foursquare and GEE APIs will be used to give you hands-on experience of applying data science and machine learning techniques to these data to answer real-life questions such as identifying the best locations for a restaurant or changes in socio-economic dynamics of a territory. This course will ensure you learn & put geospatial data analysis into practice today and increase your proficiency in using APIs for obtaining these data and deriving valuable insights from them.This is a fairly comprehensive course, i.e. we will focus on learning the most essential and widely encountered data science techniques applied to geospatial dataIn addition to all the above, you'll have MY CONTINUOUS SUPPORT to make sure you get the most value out of your investment!ENROLL NOW:)
