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Free GIS Courses on Coursera

A couple of weeks ago, you have read our post regarding free GIS and RS courses available on FutureLearn. This week, I am compiling free courses available on Coursera. As you might already know, that Coursera is one of the leading Massive Online Open Courses (MOOCs) platform. A large number of courses are available from almost all fields such as science, arts, engineering, and medical and so on.

Various GIS and Remote Sensing related courses are also being offered through Coursera. One needs to sign-up an account to start learning. Financial aid is also available for almost all courses. A separate application is required to be submitted to Coursera for financial assistance. Moreover, all courses are accessible on mobile, tablet and desktop, and one can learn on his own schedule.

Let’s have a detailed overview of GIS courses offered through Coursera platform.

GIS Courses

1. Geographic Information Systems (GIS) Specialization

Great News! Coursera has been offering the specialization bundle in Geographic Information Systems (GIS). This specialization bundle has five courses, being offered in collaboration with ESRI and University of California, DAVIS. Nicholas Santos is the chief instructor for these courses. All courses are 4 weeks long except the final Capstone Project which is 4-8 weeks long.

The details of courses packaged under GIS Specialization is as under:

i) Fundamentals of GIS

Explore the world of spatial analysis and cartography with geographic information systems (GIS). In this course, you will learn the basics of the industry’s leading software tool, ArcGIS.

The further breakdown of weekly modules is given below:

WEEK 1: Course Introduction and Introduction to Geographic Information Systems (GIS)

WEEK 2: ArcGIS Basics

WEEK 3: Making Maps With Common Datasets

WEEK 4: Retrieving and Sharing Data

You may take single course rather than full specialization.

ii) GIS Data Formats, Design and Quality

This course is designed to deliver an in-depth understanding of common data types (such as raster and vector data), structures, quality, and storage

The further breakdown of weekly modules is given below:

WEEK 1: Course Overview & Data Models and Formats

WEEK 2: Creating and Working with Vector Data

WEEK 3: Storage Formats and Working with Rasters

WEEK 4: Data Quality and Creating Web Maps

You may take single course rather than full specialization.

 

iii) Geospatial and Environmental Analysis

This is the third course in GIS specialization. In this course, one Apply their GIS knowledge on geospatial analysis, focusing on analysis tools, 3D data, working with rasters, projections, and environment variables.

The further breakdown of weekly modules is given below:

Week 1: Tour ArcToolbox and learn how to use common geospatial analysis tools built into ArcGIS Week 2: Gain a working understanding of raster data models: symbolize, reproject, overlay, and assess rasters. Take a detour into 3D data models, and interpolation of observations into 3D surfaces and rasters

Week 3: Go in-depth on projections and coordinate systems, which are foundational to all GIS. Learn how to use environment variables to constrain your analyses and get better quality data products.

Week 4: Expand your knowledge of symbology. Learn how to visually display your data by classifying it into logical groupings and then symbolizing it on your map.

You may take single course rather than full specialization.

 

iv) Imagery, Automation, and Applications

This is last theoretical course in the series of GIS specialization. However, it is very practical in a sense that it demands from learners to use their knowledge ArcGIS and complete technical tasks such raster calculations and suitability analysis.

The further breakdown of weekly modules are given below:

WEEK 1: Course Overview, Imagery, and Raster Calculator

WEEK 2: ModelBuilder and Other Topics

WEEK 3: Digital Elevation Models and Common Algorithms

WEEK 4: Spatial Analyst and Where to Go from Here

You may take single course rather than full specialization.

v) Geospatial Analysis Project

This final capstone project spans for 4 to 8 weeks and is designed for the extensive practice of GIS Analysis. The design and execution of successful project involve identifying a concept, question or issue one wish to develop, all the way to final data products and maps that learner can add to their portfolio.

Several milestones set in the course are as under:

Milestone 1: Project Proposal – Conceptualize and design your project in the abstract, and write a short proposal that includes the project description, expected data needs, timeline, and how you expect to complete it.

Milestone 2: Workflow Design – Develop the analysis workflow for your project, which will typically involve creating at least one core algorithm for processing your data. The model need not be complex or complicated, but it should allow you to analyze spatial data for a new output or to create a new analytical map of some type.

Milestone 3: Data Analysis – Obtain and preprocess data, run it through your models or other workflows in order to get your rough data products, and begin creating your final map products and/or analysis. Milestone 4:

Web and Print Map Creation – Complete your project by submitting usable and attractive maps and your data and algorithm for peer review and feedback.

The first four courses are pre-requisites for this course. You cannot sign up for project alone without completing all or at least some courses in specialization bundle.

 

2. Maps and the Geospatial Revolution

This 5 weeks long course is being offered in collaboration with Pennsylvania State University and designed to teach core concepts in cartography, geographic information systems, and spatial thinking. Professor Anthony Robinson is the chief instructor of the course.

Some key topics being covered in the course are:

  • Discover the Geospatial Revolution and its impact on the rapidly evolving science of Geography.
  • Explore what it means to think spatially and consider the impacts of scale and time.
  • Examine the key elements of spatial datasets.
  • Learn how Geographers solve problems using spatial analysis techniques.
  • Explore the key elements of effective cartographic design.

The complete syllabus is available at https://www.coursera.org/learn/geospatial#syllabus

The verified certificate is also available for $49, or one can simply study for free without certificate achievement.

To check available/upcoming sessions for enrollment, please visit: https://www.coursera.org/learn/geospatial

 

This was all about GIS courses available on Coursera. Soon, you will also see a separate post for Remote Sensing related courses on Coursera. Keep following JUST Spatial for staying up-to-date with happenings in the geospatial world.

Hi, I am a professional Geoinformatics Engineer who has passion for knowing more and more about Geospatial technologies. My particular areas of interest are Spatial Databases, Remote Sensing, and Geospatial Analytics. In addition, I am a strong proponent of free and open-source GIS, Volunteer Geographic Information (VGI), and open geo-data such as OSM.

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Muhammad Kamran

Hi, I am a professional Geoinformatics Engineer who has passion for knowing more and more about Geospatial technologies. My particular areas of interest are Spatial Databases, Remote Sensing, and Geospatial Analytics. In addition, I am a strong proponent of free and open-source GIS, Volunteer Geographic Information (VGI), and open geo-data such as OSM.

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