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.
While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning.
Generate interactive maps in under an hour, just like this: https://vinitasilaparasetty.github.io/coursera-spatial-data-analysis/
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.
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.
While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning.
Generate interactive maps in under an hour, just like this: https://vinitasilaparasetty.github.io/coursera-spatial-data-analysis/
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.
