Data
+25% demand

GIS/Geospatial Engineer

Use spatial analysis and geospatial tools to develop mapping and location intelligence applications.

6-15 months
4.5/5 rating
7 Phases
Start Learning Path
GIS/Geospatial Engineer
+25%
ArcGIS
QGIS
PostGIS
Python
Leaflet

Skills & Technologies

ArcGIS
QGIS
PostGIS
Python
Leaflet
Mapbox
Cartography
Spatial Analysis
Remote Sensing

GIS/Geospatial Engineer Roadmap

Phase 1: Introduction to GIS & Spatial Thinking

1 month
Phase 1

Topics Covered:

  • What is GIS and its real-world applications
  • Types of geospatial data: vector vs raster
  • Coordinate systems and projections
  • Understanding spatial relationships and queries
  • Key concepts: topology, scale, accuracy

Phase 2: Tools & Software Fundamentals

1.5 months
Phase 2

Topics Covered:

  • Intro to ArcGIS and QGIS interfaces
  • Basic operations: clipping, buffering, intersecting
  • Layer symbology and labeling
  • Map layouts and exporting maps
  • Handling shapefiles and GeoJSON

Hands-on Projects:

  • Create a thematic map with multiple layers in QGIS

Phase 3: Geospatial Databases & SQL

1 month
Phase 3

Topics Covered:

  • Using PostGIS for spatial databases
  • Spatial SQL: ST_Intersects, ST_Within, ST_Distance
  • Storing and querying geospatial data efficiently
  • Indexing with R-trees
  • Creating spatial views and joins

Hands-on Projects:

  • Build a spatial query system using PostGIS and SQL

Phase 4: Python for Geospatial Analysis

1.5 months
Phase 4

Topics Covered:

  • Working with GeoPandas and Shapely
  • Reading, writing, and manipulating geospatial files
  • Automating GIS workflows with Python
  • Using Folium and Matplotlib for visualizations
  • Intro to rasterio and GDAL

Hands-on Projects:

  • Automate a pipeline that analyzes and visualizes geospatial data

Phase 5: Web Mapping & Visualization

1.5 months
Phase 5

Topics Covered:

  • Creating interactive maps with Leaflet.js
  • Using Mapbox and customizing tilesets
  • GeoJSON integration and layers
  • Popups, markers, heatmaps, and clusters
  • Publishing geospatial dashboards

Hands-on Projects:

  • Build an interactive crime map using Leaflet and Mapbox

Phase 6: Remote Sensing & Spatial Analysis

1.5 months
Phase 6

Topics Covered:

  • Basics of satellite imagery and sensors
  • Working with raster data (NDVI, LULC)
  • Image classification techniques
  • Change detection and time-series analysis
  • Combining vector and raster data for analysis

Hands-on Projects:

  • Analyze deforestation using Sentinel-2 imagery and NDVI

Phase 7: Capstone GIS/Geospatial Project

2 months
Phase 7

Topics Covered:

    Hands-on Projects:

    • Design and implement a complete geospatial application
    • Use QGIS/PostGIS for data management
    • Develop Python scripts for analysis
    • Deploy an interactive map with Leaflet or Mapbox
    • Write documentation and share the project online

    Tools & Resources

    ArcGIS
    QGIS
    PostGIS
    GeoPandas
    Shapely
    Python
    GDAL
    Leaflet.js
    Mapbox
    Folium
    Rasterio

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