GIS Foundations
Master the fundamentals of Geographic Information Systems using ArcGIS Pro. Learn to analyze spatial data, create maps, and solve complex geographical problems.
Master the fundamentals of Geographic Information Systems using ArcGIS Pro. Learn to analyze spatial data, create maps, and solve complex geographical problems.
This comprehensive course introduces learners to Geographic Information Systems (GIS) using ESRI's industry-standard ArcGIS Pro software. Students learn fundamental GIS concepts, tools, and processing techniques applicable across various fields including cartography, data science, urban planning, and public health. The course covers crucial aspects of spatial data analysis, visualization, and management, teaching participants to create and analyze geospatial data, perform spatial analyses, and create informative visualizations through maps, graphs, and charts. Verified track learners receive a one-year ArcGIS Pro Desktop license and gain hands-on experience with real-world applications. The course serves as a foundation for advanced GIS applications and prepares learners for professional GIS work.
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What you'll learn
Use ArcGIS Pro software efficiently for spatial analysis
Create and analyze geospatial data effectively
Develop skills in map creation and data visualization
Master GIS tools for complex problem-solving
Perform spatial analyses on various data types
Create informative maps graphs and charts
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Labs, Discussion boards
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 4 modules in this course
The course provides a comprehensive introduction to Geographic Information Systems using ArcGIS Pro software. Students learn essential concepts including GIS fundamentals, data types, coordinate systems, and spatial analysis techniques. The curriculum covers practical skills in data processing, visualization, and map creation. Through hands-on exercises, learners master tools for spatial analysis, work with various data formats, and create professional-quality maps and charts. The course emphasizes real-world applications across multiple industries, from urban planning to environmental science.
Introduction to GIS
Module 1
Getting Started with ArcGIS Pro Software
Module 2
Spatial Analysis using Geoprocessing Tools
Module 3
Map Layout and Charts
Module 4
Fee Structure
Instructors
4 Courses
Distinguished Arctic Scientist and Remote Sensing Expert
Santosh K. Panda serves as Associate Professor of GIS and Remote Sensing at the University of Alaska Fairbanks, where he holds joint appointments with the Geophysical Institute and the Institute of Agriculture, Natural Resources and Extension. His research focuses on understanding Arctic landscape dynamics, particularly permafrost response to climate change and its effects on Arctic systems. After completing his PhD in Geology from UAF, he has pioneered high-resolution permafrost modeling across Alaska's national parks and developed innovative approaches to mapping boreal forest wildfire patterns using hyperspectral remote sensing. His work includes significant community engagement, notably building capacity for permafrost monitoring in native villages of Telida and Nikolai, and mapping Colville River bathymetry to support safe river navigation. As principal investigator for the Alaska NSF EPSCoR Fire and Ice project, he leads research on improving boreal wildfire fuel mapping. His publications have garnered over 795 citations, with significant contributions to permafrost dynamics modeling, remote sensing applications, and Arctic landscape change analysis. Beyond research, he maintains an active teaching role in remote sensing and GIS at both undergraduate and graduate levels while advancing the application of spatial technologies to understand Arctic environmental changes.
4 Courses
Distinguished Remote Sensing Expert and Boreal Forest Researcher
Dr. Anushree Badola serves as Postdoctoral Researcher at the Institute of Agriculture, Natural Resources and Extension, University of Alaska Fairbanks, where she specializes in hyperspectral remote sensing and machine learning applications for forestry and agriculture. Her groundbreaking research includes developing novel methods to simulate AVIRIS-NG hyperspectral imagery from Sentinel-2 data for improved vegetation and wildfire fuel mapping in boreal Alaska. After earning her Master's in Geoinformatics from the University of Twente and IIRS, ISRO, Dehradun, she completed her PhD at UAF's Geophysical Institute. Her work with the Alaska NSF EPSCoR Fire and Ice project has significantly advanced boreal forest monitoring techniques, achieving improved classification accuracies from 77.8% with Sentinel-2 to 94.4% with AVIRIS-NG data. Her research portfolio includes innovative approaches to tree species mapping in tropical forests, sub-pixel needleleaf cover fraction estimation in boreal forests, and development of spectral reconstruction methods for vegetation mapping. As a skilled programmer in Python and R with expertise in various GIS tools including QGIS, ArcGIS, ENVI, and Erdas Imagine, she continues to advance the field of remote sensing while focusing on improving wildfire fuel mapping technologies for better forest management.
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Frequently asked questions
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