Spatial Analysis & Geospatial Data Science in Python


A brief description

Geospatial data science is a branch of data science that focuses on spatial data and the methods that go with it. We’ll do some spatial analysis and try to glean some ideas from the information. We will pave the groundwork for a future in geospatial data science in this course. The workhorse of Geospatial data science Python libraries, Geopy, Plotly, and others, will be demonstrated.

This course covers a broad range of subjects in geospatial data science, including some of the most commonly used spatial techniques. We’ll learn how to interpret, manipulate, and process spatial data with Pandas, as well as run some spatial operations

Who this course is for:

  • Students who want to become Data Scientist by show-case these Projects on his/her Resume..
  • Students who like to take their first steps in the Geospatial data science career.
  • Python users who are interested in Spatial Data Science.
  • GIS users who are new to python and Jupyter notebooks for Geographic data analysis…


Course Link

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