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Master Geospatial Data Science with Python & OpenStreetMap

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4:28:12

  • 1 -What is this course about.mp4
    00:35
  • 2 -Geospatial Data Vector and Raster.mp4
    06:05
  • 3 -1.pdf
  • 3 -OpenStreetMap as a Data Source.mp4
    05:28
  • 4 -Overview of OSM Data.mp4
    06:02
  • 5 -Section summary.mp4
    00:31
  • 1 -How Will We Code.mp4
    00:34
  • 2 -Python Setup Guide and Package Summary.mp4
    02:27
  • 3 -Theory of Geometries.mp4
    02:59
  • 4 -Coding Geometries in Python.mp4
    07:03
  • 5 -Overview of the GeoPandas Library.mp4
    02:00
  • 6 -GeoDataFrames in Practice.mp4
    14:01
  • 7 -Section summary.mp4
    00:28
  • Files.zip
  • 1 -Section intro.mp4
    00:41
  • 2 -Acquiring Point Data with the OverPass API.mp4
    20:18
  • 3 -On-boarding to OSMNx and Acquiring Point Data with OSMNx.mp4
    06:21
  • 4 -Acquiring Administrative Areas and Extending Visuality.mp4
    08:32
  • 5 -Acquiring Polygon-level Urban features.mp4
    08:07
  • 6 -Acquiring Graph Data.mp4
    10:36
  • 7 -Section summary.mp4
    00:47
  • Files.zip
  • 1 -Section intro.mp4
    00:36
  • 2 -Basemaps in Practice.mp4
    09:59
  • 3 -Downloading and Visualizing a Full Urban Profile of City Neighborhoods.mp4
    15:50
  • 4 -The Concept of Map Projections.mp4
    09:03
  • 5 -Map Projections in Practice.mp4
    09:19
  • 6 -Analyzing Road Network Properties.mp4
    22:05
  • 7 -Analyzing Building Properties.mp4
    12:51
  • 8 -Section summary.mp4
    00:37
  • Files.zip
  • 1 -Section intro.mp4
    01:03
  • 2 -A Simple Livability Index.mp4
    05:26
  • 3 -City-level Data Collection.mp4
    22:30
  • 4 -Computing the Livability Index.mp4
    16:48
  • 5 -Deriving Livability Parameters.mp4
    37:33
  • 6 -Section summary.mp4
    00:57
  • Files.zip
    •

    More details

    Course Overview

    Learn to harness Python for urban analytics by mastering geospatial data science techniques with OpenStreetMap. Collect, analyze, and visualize vector data to derive actionable urban insights.

    What You'll Learn

    • Recognize and manipulate vector data in Python
    • Collect and store OpenStreetMap data automatically
    • Quantify urban features using spatial analytics

    Who This Is For

    • Data scientists expanding into spatial analytics
    • GIS analysts transitioning to data science tools
    • Urban planners leveraging OpenStreetMap data

    Key Benefits

    • Hands-on Python coding for geospatial tasks
    • Customizable OSM data collection workflows
    • Livability index development for urban areas

    Curriculum Highlights

    1. Geospatial Data Fundamentals & OSM
    2. Python Geospatial Programming
    3. Urban Analytics with Road/Building Data
    Focused display
    Category
    • language english
    • Training sessions 33
    • duration 4:28:12
    • Release Date 2025/06/07