Spatial Analysis & Geospatial Data Science in Python

Spatial Analysis & Geospatial Data Science in Python

Learn how to process and visualize geospatial data and perform spatial analysis using Python.

This course includes:

  • 4 hours on-demand video
  • 3 articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

What you’ll learn

  • The course introduces you to the most essential Geopython Libraries
  • Learn the essentials of Geopy,Plotly Library, the workhorse of Geospatial data science in Python.
  • Learn how to visualize Geospatial data in Python (static and interactive maps)
  • Learn how to pre-process geospatial data.
  • Perform Geocoding on Data

Requirements

  • No GIS knowledge is required. We will give breif theoretical explanation as well as its practical implementation

Description

Geospatial 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 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 perform  some 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 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 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…

Who this course is for:

  • One who is curious about DataScience

Course content

9 sections • 39 lectures • 3h 55m total length
  • Introduction
  • ——————–Project 1–>>Intro to Zomato use-case
  • Perform Data Pre-Processing on Zomato
  • Zomato Spatial Analysis
  • ——————–Project 2–>> Global Warming Analysis
  • ——————–Project 3 –>> Intro to Covid-19 Project——————–
  • Spatial Analysis on Covid-19
  • Covid-19– Interactive Geospatial Data visaulisation
  • Covid-19– Advanced GeoSpatial Analysis
Created by: Shan Singh, Data Scientist
Last updated 2/2021
English
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Rating: 4.4 out of 5
(41 ratings)
11,988 students
https://www.udemy.com/course/spatial-data-science-in-python/

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