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Updated by kanger.dev on Feb 05, 2022
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Spatial Analysis Courses

If you have a basic knowledge of programming for data science or data analysis, then these high-quality courses bootstrap employable expertise differentiated from nominal data analysts.

Source: https://kanger.dev/learn-geo-spatial-analysis-gis-python-r-courses/

Geographic Information Systems (GIS) Essentials Professional Certificate | edX

*What you will learn in this program?
*

  • Build proficiency in ESRI’s ArcGIS Pro software, the industry standard.
  • Use geoprocessing tools for spatial analysis and problem solving.
  • Communicate spatial analysis results through maps, graphs and ArcGIS story maps.
  • Use 3D geoprocessing tools for landscape analysis and watershed delineation, and ArcScene for 3D visualization.
  • Learn image processing and analysis in ArcGIS Pro to assess vegetation health, wildfire burn severity, and flood impacts. Use image classification to map land use and land cover.
Fundamentals of GIS

*What you will learn in this course?
*

  • Define core geospatial concepts
  • Practice with subset data using selections and feature attributes
  • Create map books using advanced mapping techniques
  • Create layer and map packages
Introduction to GIS Mapping | Coursera

Skills you will gain in this course

  • Geographic Information System (GIS)
  • Cartography
  • Esri
  • Mapping
  • Spatial Analysis
Start with Google Earth Engine & Spatial Analysis #Beginners

What you will learn in this course?

  • Students will gain access to and a thorough knowledge of the Google Earth Engine platform
  • Get introduced to JavaScript skills on Google Earth Engine platform
  • Learn how to calculate spectral indices and work with Big data on cloud
  • Learn image classification (land cover mapping) basics in Earth Engine Explorer
  • Get introduction to Remote Sensing and satellite images
  • Understand how to work with satellite images on the desktop computer and on the cloud
Geographic Information Systems (GIS) Specialization

What you will learn ?

  • Create and work with raster data.
  • Develop and analyze data for the geospatial analysis project.
  • Develop a large processing workflow in ModelBuilder.
  • Interpret and explain the results you obtained in comparison to your original GIS question and/or hypothesis.
Spatial Computational Thinking Professional Certificate | edX

In this Professional Certificate Program, you will learn how to create computational procedures for generating, analysing, and visualising complex spatial information models.

Visualizing Geospatial Data in R Course | DataCamp

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

GIS, Mapping, and Spatial Analysis Specialization

Offered by University of Toronto. Launch your career in mapping and GIS!. Learn the concepts, tools, and techniques to make great maps that ... Enroll for free.

QGIS and Google Earth Engine Python API for Spatial Analysis

What you will learn in this course?

  • Students will access and sign up the Google Earth Engine Python API platform
  • Download, and install QGIS
  • Access satellite data in Earth Engine
  • Export geospatial Data
  • Access image collections
  • Learn to access and analyze various satellite data including, MODIS, Sentinel and Landsat
  • Cloud masking of Landsat images
  • Visualize time series images
  • Extract information from satellite data
Spatial Data Science and Applications | Coursera

Offered by Yonsei University. Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business ... Enroll for free.

Spatial Analysis and Geospatial Data Science With Python

What you will learn in this course?

  • The course introduces you to the most essential Geopython Libraries
  • Learn how to visualize Geospatial data in Python (static and interactive maps)
  • Perform Spatial Data analysis with Python
  • Learn how to pre-process geospatial data.
  • Learn the essentials of Geopandas Library, the workhorse of Geospatial data science in Python.
  • Perform Geocoding and Reverse Geocoding using free Open source Solutions.
  • Unleash the power of Locational analytics in Data science.
  • Reinforce your knowledge with Geospatial data science Excercises and Projects.
Spatial Analysis with sf and raster in R Course | DataCamp

Learn how to work with vector data in R using the SF package. You'll learn how to perform geoprocessing of vectors like buffering, spatial joins, and more

Analyzing US Census Data in R

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Core Spatial Data Analysis: Introductory GIS with R and QGIS

What you'll learn?

  • You will have a greater clarity of basic spatial data concepts and data types
  • Carry out practical spatial data analysis tasks in freely available software
  • Learn about the kind of questions that are answered through spatial analysis and where to obtain free spatial data.
  • Analyze spatial data using both R and QGIS
  • Process raster and vector data in both R and QGIS
  • Show off your skills & gain experience by working on a real life conservation related spatial data analysis project
  • Start analyzing spatial data for your own projects using two powerful freeware tools
  • You'll have a copy of all the data and R scripts used in the course will be provided to students for their reference and to use in their own analysis.
  • You'll also have plenty of handy hints and tips will be provided alongside the code to prevent glitches
[Intermediate] Spatial Data Analysis with R, QGIS & More

What you'll learn?

  • Carry out the most common spatial data analysis and GIS tasks using free software tools
  • Perform advanced spatial data analysis and mapping using both R and QGIS
  • Develop robust map-making skills including harnessing the power of Google Earth.
  • Get started with using the powerful, freeware tool GRASS GIS for some spatial data analysis tasks
  • Stop spending money on paid-for GIS software tools
  • Have a solid foundation to learn advanced GIS tasks
  • Gain experience in working with a variety of different spatial data and gain hands-on expertise