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所在平台: Udemy |
课程主页: https://www.udemy.com/course/spatial-data-science-in-python/
课程评论：没有评论
## 课程摘要：Python 空间分析与地理空间数据科学 本课程是**使用 Python 进行空间数据科学 / 空间分析项目的入门课程**。 **课程亮点：** * **实践导向：** 提供大量基于 Python 的实践项目，帮助您亲手操作。 * **清晰易懂：** narration 和 presentation 精美简洁，讲解清晰有趣，即使是初学者也能轻松掌握。 * **实用技能：** 学习如何读取、操作和处理空间数据，并掌握常用空间分析技术。 * **可视化重点：** 深入学习制作各种地理空间可视化图表，如 Choropleth、地理散点图、地理热力图、标记等。 * **核心工具：** 熟练运用 Geopy, Plotly, Folium 等地理空间数据科学的 Python 库。 * **全面覆盖：** 广泛涉及地理空间数据科学中最常用的空间技术。 * **代码辅助：** 每个视频都包含主题总结和代码示例 walkthrough，采用通俗易懂的语言，提升学习效率。 **课程价值：** * 为您的地理空间数据科学职业生涯奠定坚实基础。 * 帮助您在简历中展示实际的地理空间数据科学项目。 * 让对空间数据科学感兴趣的 Python 用户和 GIS 用户快速上手 Python 和 Jupyter Notebook 进行地理数据分析。 **适合人群：** * 希望通过掌握地理空间数据科学项目来提升简历的学生。 * 希望开启地理空间数据科学职业生涯的初学者。 * 对空间数据科学感兴趣的 Python 用户。 * 刚接触 Python 和 Jupyter Notebook 的 GIS 用户。
This is the first course that gives hands-on Spatial Data Science / Spatial Analysis Projects using Python..Student Testimonials:Excellent course. The narration and presentation of the course are beautiful and simple. The contents contain very clear and interesting explanations. I love this course. Spatial Data Science course in python is entertaining, it contains very clear explanations, every minute you learn something new, it is really exciting. Thank you very much for this wonderful course - Leonardo GuevaraGreat course about Spatial analysis using Python! Simple to understand and packed with practical knowledge and real-world examples. Thanks Shan Singh for creating this course! - Gabriel BorjaI was longing to get a kick start on geospatial analysis. This has given me a very clear explanation which I will put into practise - Geoffrey MogonchiGeospatial data science is a subset of data science that focuses on spatial data and its unique techniques. In this, we are going to perform spatial analysis and trying to find insights from spatial data. In this course, we lay the foundation for a career in Geospatial Data Science. You will get hands-on Geopy, Plotly , Folium etc.. the workhorse of Geospatial data science Python libraries.The topics covered in this course widely touch on some of the most used spatial technique in Geospatial data science. We will be learning how to read spatial data , manipulate and process spatial data using Pandas and how to perform spatial operations.. A large portion of the course deals with spatial Visuals like Choropleth, Geographical Scatter plot, Geographical Heatmap, Markers, Geographical HeatMap.. Each video contains a summary of the topic and a walkthrough with code examples in layman terms that will help you learn more effectively.Who this course is for:Students who want to become Data Scientist by show-case these Projects on his/her ResumeStudents who like to take their first steps in the Geospatial data science careerPython users who are interested in Spatial Data ScienceGIS users who are new to python and Jupyter notebooks for Geographic data analysis
