Spatial Data Science and Applications
Master geospatial analysis using QGIS, PostgreSQL, and R. Learn how to handle spatial big data and apply GIS techniques for real-world applications.
Master geospatial analysis using QGIS, PostgreSQL, and R. Learn how to handle spatial big data and apply GIS techniques for real-world applications.
This comprehensive course introduces learners to the fundamentals and applications of spatial data science. Led by Professor Joon Heo, it covers essential concepts from Geographic Information Systems (GIS), spatial database management, and big data analytics. Students learn to work with industry-standard tools like QGIS, PostgreSQL, and R while exploring practical applications in business, technology, and data analysis. The course emphasizes both theoretical understanding and hands-on experience with spatial data analysis, making it ideal for data scientists and analysts looking to specialize in geospatial applications.
4.4
(514 ratings)
27,730 already enrolled
Instructors:
English
English (Original), Deutsch (Auto), हिन्दी (ऑटो), 19 more
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What you'll learn
Master the fundamentals of spatial data science and GIS
Understand spatial database management systems and big data tools
Develop skills in spatial data analytics and visualization
Learn to use industry-standard tools like QGIS and PostgreSQL
Apply spatial analysis techniques to real-world problems
Gain expertise in handling and processing spatial big data
Skills you'll gain
This course includes:
398 Minutes PreRecorded video
6 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive spatial data science course combines theoretical foundations with practical applications. Students learn about the unique aspects of spatial data from business, technical, and analytical perspectives. The curriculum covers four key disciplines: Geographic Information Systems (GIS), Database Management Systems (DBMS), Data Analytics, and Big Data Systems. Through hands-on experience with open-source tools like QGIS, PostgreSQL, and R, students learn to solve real-world spatial data challenges, from basic mapping to advanced spatial analytics and big data processing.
Understanding Spatial Data Science
Module 1 · 1 Hours to complete
Solution Structures of Spatial Data Science Problems
Module 2 · 1 Hours to complete
Geographic Information System (GIS)
Module 3 · 2 Hours to complete
Spatial DBMS and Big Data Systems
Module 4 · 1 Hours to complete
Spatial Data Analytics
Module 5 · 2 Hours to complete
Practical Applications of Spatial Data Science
Module 6 · 1 Hours to complete
Fee Structure
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Financial Aid
Instructor
Professor
Joon Heo is a professor at the department of civil and environmental engineering, and the director of Open and Smart Education (OSE) Center, which was formed in 2014 and in charge of MOOC production, Yonsei Learning Management System (YSCEC), and other educational issues. He also served as an associate director of Yonsei Enterprise Support (YES) Foundation from 2009 to 2017, which is in charge of incubating and accelerating start-ups at Yonsei University. He obtained his B.S. in the Department of Civil Engineering (Urban Engineering Major) from the Seoul National University in 1993, and his M.S. and Ph.D. in Civil and Environmental Engineering from University of Wisconsin-Madison in 1997 and 2001 respectively. In 2000, he joined a start-up company, Forest One Inc., a value-added geospatial information provider and IT consulting company, located in Evanston, IL. For the following five years, he leaded technology developments as CTO and provided technical services to Fortune 500 companies. He joined the Department of Civil and Environmental Engineering at Yonsei University in 2005 as a faculty member and has taught Geographic Information System (GIS), photogrammetry, and remote sensing. His areas of research interests include (1) spatial data production and analytics with specific domain expertise of infrastructure operation and management; (2) spatial data science with applications of transportation, health, business, military, and education; (3) image processing and remote sensing for natural resource management and construction. He has published over 100 refereed journal papers (over 50 SCI-listed), and over 150 conference papers.
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4.4 course rating
514 ratings
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