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
Day
Topic
Activities
Day 1
Introduction to GIS
Basic GIS concepts, types of data, coordinate systems
Day 2
Spatial Data Models
Vector vs Raster data
Day 3
Map Projections and Coordinate Systems
Practical examples of projections and conversions
Day 4
Data Sources and Acquisition
Finding and using GIS data sources (e.g., OpenStreetMap)
Day 5
GIS Software Overview
Overview of software (QGIS, ArcGIS, web GIS tools)
Day 6
Basic Cartography and Map Design
Principles of map design, symbology, and layouts
Day 7
Review and Practice
Practice mapping and basic analysis tasks
Week 3-5: Python Programming for GIS
Day
Topic
Activities
Day 8
Python Essentials for GIS
Introduction to Python basics (variables, loops, functions)
Day 9
Data Handling with Pandas
Reading and manipulating data with Pandas
Day 10
Spatial Data with Geopandas
Working with spatial data in Python using Geopandas
Day 11
Raster Data Analysis with Rasterio
Reading, processing raster data
Day 12
Visualizing GIS Data with Matplotlib
Plotting and visualizing spatial data
Day 13
Advanced Spatial Analysis
Buffer, intersect, and spatial joins with Geopandas
Day 14
Practice and Mini-Project
Create a simple spatial analysis project
Week 6-8: GIS Development with Web Mapping
Day
Topic
Activities
Day 15
Web Mapping Basics
Intro to web GIS, overview of Leaflet and Mapbox
Day 16
Setting Up a Web Map
Create a basic map with Leaflet
Day 17
Adding Layers and Controls
Adding markers, popups, and controls to maps
Day 18
Data Integration
Integrating spatial data from APIs
Day 19
Working with Vector Tiles
Displaying large datasets with vector tiles
Day 20
Advanced Styling and Interactivity
Styling maps, adding user interactivity
Day 21
Mid-Course Project
Build an interactive map displaying user data
Week 9-12: Advanced GIS Development Topics
Day
Topic
Activities
Day 22
Database Management for GIS
Intro to PostGIS and spatial databases
Day 23
Spatial Queries in PostGIS
Writing SQL for spatial data
Day 24
Server-Side GIS with Django
Intro to Django, setting up a GIS web app
Day 25
Building REST APIs
Creating APIs to serve GIS data
Day 26
GeoDjango Basics
Integrating spatial data in Django with GeoDjango
Day 27
Frontend and Backend Integration
Connecting Django with Leaflet or other JS maps
Day 28
Practice Project
Build a full-stack GIS web application
Final Phase: Capstone Project (2-4 weeks)
Day
Topic
Activities
Week 13-16
Capstone Project
Full-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.
