Udemy – Map Academy: get mapping quickly, with QGIS 2023-8

Published on: 2024-10-18 12:50:45

Categories: 28

Description

Map Academy: get mapping quickly, with QGIS is a training course on mapping skills and geographic information system with QGIS, published by Udemy Online Academy. This is an introductory course designed to help users rapidly develop mapping and geographic information system (GIS) skills using QGIS, a powerful open source GIS tool. This course covers the basics of creating, editing and analyzing spatial data with QGIS, making it ideal for those new to GIS or looking to improve their spatial skills. Learners will discover essential tools for map creation, including how to import and manage geographic data, perform spatial analysis, and produce professional-quality maps.

This course covers the basics of QGIS from importing and managing geographic data to performing spatial analysis and producing high quality maps. This course covers the basics of QGIS from importing and managing geographic data to performing spatial analysis and producing high quality maps. This course also introduces more advanced features such as georeferencing and symbology. Through hands-on exercises, people gain confidence in using QGIS for various mapping projects in areas such as environmental studies, urban planning, and more. At the end of the course, learners can easily produce and analyze detailed maps.

What you will learn in Map Academy: get mapping quickly, with QGIS:

How to make different types of maps
Map creation workflow
Basics of QGIS
How to export high resolution images from QGIS
Basic principles of GIS
How to use QGIS for geographic analysis
Formats and concepts of geographic data
and…

Course specifications

Publisher: Udemy
Instructors: Alasdair Rae
Language: English
Level: Introductory
Number of Lessons: 148
Duration: 15 hours and 14 minutes

Course topics

Map Academy get mapping quickly, with QGIS Content

Map Academy: get mapping quickly, with QGIS Prerequisites

No prior experience of mapping or geographic data analysis is necessary – you just need to be a competent computer user and know how to install software (on PC, Mac or Linux).