Python Geospatial Data Analysis

47개의 평가
Coursera Project Network
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학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Learn how to manipulate geospatial data.

Generate heat maps and marker clusters using Folium.

Convert your jupyter notebook into a dashboard using a single line of code.

Clock2 hours
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

Note: Read the prerequisites carefully. If you do not know intermediate pandas and intermediate Python you will not be able to understand this project. This guided project is for beginners who want to learn about geospatial data analysis using Python. You will analyze crime data from the Boston Police Department. It is a clean dataset, so you can get straight to generating interactive maps. Generate interactive maps in under an hour, just like this: By the end of this project, you will know how to generate maps using folium and analyze geospatial data using geovisualization. Then you will learn how to identify possible contributing factors for the problem statement. Special Features: 1) Learn a cool hack using one line of code to convert a jupyter notebook into a dashboard. 2) After you complete this project, you get a jupyter notebook of all the work you covered. It acts as a useful learning tool that you can refer to at any time in the future. 3) Examples for logical thinking required for geospatial data analysis are provided. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

개발할 기술

Data ScienceGeovisualizationPython ProgrammingSpatial Analysisgeospatial data analysis

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Generate marker clusters to indicate crime scenes.

  2. Generate heat map with circular markers to indicate unsafe districts

  3. Generate open street map with heatmap overlay for in depth analysis.

  4. Generate maps for specific crimes, to find possible causes for the particular crime.

  5. Convert jupyter notebook to dashboard.

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.



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