Course Outline

Introduction to QGIS

  • QGIS Overview
  • QGIS GUI
  • General Tools
  • QGIS Configuration
  • Working with Projections
  • QGIS Browser
  • Working with Vector Data
  • Working with Raster Data
  • Working with OGC Data
  • Working with GPS Data

PyQGIS

  • Introduction to PyQGIS
  • Loading Projects
  • Loading Layers
  • Using Raster Layers
  • Using Vector Layers
  • Geometry Handling
  • Projections Support
  • Using Map Canvas
  • Map Rendering and Printing
  • Expressions, Filtering and Calculating Values
  • Reading And Storing Settings
  • Communicating with the user
  • Developing Python Plugins
  • IDE settings for writing and debugging plugins
  • Using Plugin Layers
  • Compatibility with older QGIS versions
  • Releasing your plugin

Requirements

A prior experience with Python and the libraries like pandas, matplotlib is highly recommended along with a knowldege around visualization tools and API usage.

  21 Hours
 

Testimonials

Related Courses

ArcGIS for Spatial Analysis

  14 hours

ArcGIS Pro for Spatial Analysis

  14 hours

ArcGIS with Python Scripting

  14 hours

Data Analytics With R

  21 hours

Excel For Statistical Data Analysis

  14 hours

Data Analysis with Hive/HiveQL

  7 hours

NLP: Natural Language Processing with R

  21 hours

Data Analysis with Python, Pandas, and Numpy

  14 hours

deck.gl: Visualizing Large-scale Geospatial Data

  14 hours

Magellan: Geospatial Analytics on Spark

  14 hours

Google Maps API for Developers

  14 hours

Python for Geographic Information System (GIS)

  21 hours

Intermediate Pix4D

  14 hours

Introduction to Pix4D

  14 hours

Knowledge Discovery in Databases (KDD)

  21 hours