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data Intermediate 21 lessons

Spatial Data Science

Master mapping and geospatial analysis. Learn to manipulate spatial data, perform geometric operations, and create interactive maps using Python.

Location data is everywhere, from logistics to environmental science. This course teaches Spatial Data Science using the Python ecosystem. You will move beyond simple coordinates to master Coordinate Reference Systems (CRS), vector data manipulation with Shapely, and powerful dataframes with GeoPandas. Learn to perform spatial joins (points in polygons), calculate distances, and visualize complex datasets on interactive web maps. This skillset is essential for urban planning, logistics, and environmental monitoring.

✅ 100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
GIS Pros
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Complete Course Syllabus

  • 1
    Geospatial Data
    Points, Lines, Polygons, and the GeoJSON format.
  • 2
    GeoPandas Core
    Extending pandas DataFrames with spatial geometry columns.
  • 3
    Coordinate Systems
    Understanding Projections and re-projecting data safely.
  • 4
    Spatial Operations
    Joins, intersections, buffers, and distance calculations.
  • 5
    Interactive Mapping
    Visualizing data on slippy maps with Folium.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$95k - $140k

Career Paths

Spatial Data Scientist $100k-$145k
GIS Analyst $80k-$110k
Logistics Engineer $90k-$130k

What You Will Learn

Manipulate geospatial vector data using GeoPandas
Perform spatial joins and geometric operations effectively
Manage Coordinate Reference Systems (CRS) projections
Create interactive web maps using Folium and Leaflet
Analyze spatial relationships and distance calculations

Skills You Will Gain

GeoPandas GIS Concepts Spatial Analysis Mapping Shapely

Who Is This For

Data Scientists
Urban Planners
Logistics Analysts

Prerequisites

Pandas
Python Basics

Spatial Data Science FAQs

ArcGIS?

We focus on Open Source Python tools, not ArcGIS.

Prerequisites?

Strong comfort with standard Pandas is required.

Use cases?

Delivery routing, real estate, climate tracking.

Maps in apps?

Yes, teaches generating maps for web apps.

Need more info?
All Reork courses are 100% free, self-paced, and fully accessible on mobile devices. No prior experience is required. Read our full Platform FAQ.

Tech Stack & Tools

GeoPandas
Folium
Shapely
QGIS
Jupyter

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