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GIS Developer Course

a comprehensive understanding may take anywhere from 3-6 months of study, depending on prior knowledge and time commitment.


Week 1-2: Introduction to GIS Concepts

DayTopicActivities
Day 1Introduction to GISBasic GIS concepts, types of data, coordinate systems
Day 2Spatial Data ModelsVector vs Raster data
Day 3Map Projections and Coordinate SystemsPractical examples of projections and conversions
Day 4Data Sources and AcquisitionFinding and using GIS data sources (e.g., OpenStreetMap)
Day 5GIS Software OverviewOverview of software (QGIS, ArcGIS, web GIS tools)
Day 6Basic Cartography and Map DesignPrinciples of map design, symbology, and layouts
Day 7Review and PracticePractice mapping and basic analysis tasks

Week 3-5: Python Programming for GIS

DayTopicActivities
Day 8Python Essentials for GISIntroduction to Python basics (variables, loops, functions)
Day 9Data Handling with PandasReading and manipulating data with Pandas
Day 10Spatial Data with GeopandasWorking with spatial data in Python using Geopandas
Day 11Raster Data Analysis with RasterioReading, processing raster data
Day 12Visualizing GIS Data with MatplotlibPlotting and visualizing spatial data
Day 13Advanced Spatial AnalysisBuffer, intersect, and spatial joins with Geopandas
Day 14Practice and Mini-ProjectCreate a simple spatial analysis project

Week 6-8: GIS Development with Web Mapping

DayTopicActivities
Day 15Web Mapping BasicsIntro to web GIS, overview of Leaflet and Mapbox
Day 16Setting Up a Web MapCreate a basic map with Leaflet
Day 17Adding Layers and ControlsAdding markers, popups, and controls to maps
Day 18Data IntegrationIntegrating spatial data from APIs
Day 19Working with Vector TilesDisplaying large datasets with vector tiles
Day 20Advanced Styling and InteractivityStyling maps, adding user interactivity
Day 21Mid-Course ProjectBuild an interactive map displaying user data

Week 9-12: Advanced GIS Development Topics

DayTopicActivities
Day 22Database Management for GISIntro to PostGIS and spatial databases
Day 23Spatial Queries in PostGISWriting SQL for spatial data
Day 24Server-Side GIS with DjangoIntro to Django, setting up a GIS web app
Day 25Building REST APIsCreating APIs to serve GIS data
Day 26GeoDjango BasicsIntegrating spatial data in Django with GeoDjango
Day 27Frontend and Backend IntegrationConnecting Django with Leaflet or other JS maps
Day 28Practice ProjectBuild a full-stack GIS web application

Final Phase: Capstone Project (2-4 weeks)

DayTopicActivities
Week 13-16Capstone ProjectFull-scale project involving data processing, spatial analysis, and web mapping integration

Total Course Duration: Around 12-16 weeks (3-4 months) for the complete program, if studied intensively. For a more flexible, in-depth approach, 4-6 months is recommended to solidify understanding, especially if the learner is new to programming or GIS.

Recent Posts

  • Geospatial Risk Assessment: A Python Approach
  • Analyzing Employee Arrival Patterns and Delays Using Geospatial Data
  • Real-Time GPS Tracking on a Web Map using FastAPI & Leaflet
  • How to Create a Simple WebGIS with FastAPI, PostGIS, and Leaflet.js
  • Graph Coloring: How Many Colors Do You Need?

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Araz Shahkarami

I’m a software enthusiast with a deep love for crafting robust and efficient solutions. My journey into the world of programming began several years ago when I was introduced to the world of code. Since then, I’ve been on an exhilarating ride of learning, problem-solving, and continuous improvement.

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