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Introduction to GIS: Spatial Data Analysis with QGIS

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Course Instructor:

Alemayehu Midekisa

Course Catagory:

IT & Software

Course Language:


Introduction to GIS: Spatial Data Analysis with QGIS

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Course Description

Do you want to learn how to access, process and analyze geospatial data using open source tools?

Do you want to master the fundamental concepts of a geographic information systems?   

Do you want to acquire new hands on geospatial skills that will prepare you for a GIS job in the geospatial industry?   

You are here because you want to learn geographic information systems with open source tools, right?

I am happy to have you here!

You may be new to GIS, or you may have a little GIS experience.   

This course is perfect for anyone who wants to learn GIS from scratch to access, process, analyze, visualize and share spatial data.   

What makes me qualified to teach you?   

I am Dr. Alemayehu Midekisa, PhD. I am a geospatial data scientist, instructor and author. I have over 15 plus years of experience in processing and analyzing real big Earth observation data from various sources including Landsat, MODIS, Sentinel-2, SRTM and other remote sensing products.

In this Introduction to GIS: Spatial Data Analysis with QGIS course, I will help you get up and running a QGIS software. By the end of this course, you will not only master the theoretical concepts of s geographic information systems, but also most importantly equipped with a set of new GIS skills including accessing, processing, analyzing, visualizing and sharing spatial data.   

One of the common problems with learning GIS is the high cost of software. In this course, I entirely use open source free software. Additionally, I will walk you through a step by step video tutorials to handle a GIS data in QGIS platform. All sample data will be provided to you as an added bonus through out the course. 

Jump in right now to enroll. To get started click the enroll button.     

Who is this course for:

  • This course is meant for professionals in various sectors including public health, water resources, urban planning, and others that deal with spatial data.
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