Chevron Left
Back to Spatial Data Science and Applications

Learner Reviews & Feedback for Spatial Data Science and Applications by Yonsei University

455 ratings

About the Course

Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes. Consequently, they are bound to hire more and more spatial data scientists. Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. Additionally, this course could make learners realize the value of spatial big data and the power of open source software's to deal with spatial data science problems. This course will start with defining spatial data science and answering why spatial is special from three different perspectives - business, technology, and data in the first week. In the second week, four disciplines related to spatial data science - GIS, DBMS, Data Analytics, and Big Data Systems, and the related open source software's - QGIS, PostgreSQL, PostGIS, R, and Hadoop tools are introduced together. During the third, fourth, and fifth weeks, you will learn the four disciplines one by one from the principle to applications. In the final week, five real world problems and the corresponding solutions are presented with step-by-step procedures in environment of open source software's....

Top reviews


Aug 13, 2018

Great course. It helps I have a background in both Data Science and Geographic Information Science, but still found it equally interesting and challenging! I would highly recommend this course.


Aug 5, 2021

This is a great course for persons who have interacted with GIS before. It teaches you the underlying principle and science behind most of these QGIS processing algorithms

Filter by:

1 - 25 of 146 Reviews for Spatial Data Science and Applications

By Jesús A

Jun 7, 2019

By Kumar R

Jul 27, 2019

By rustom s

Apr 8, 2018

By Zack D

Jun 8, 2018

By Julia H

Apr 17, 2020


Jul 16, 2019

By Gopinath P

Sep 3, 2019

By Tino K

Feb 3, 2021

By Pankaj W

Dec 7, 2019


Apr 6, 2020

By Michael B

Jun 10, 2018


Jun 18, 2020

By Keith P C L

Sep 15, 2020

By Ahmed W M

May 2, 2020

By Daniel L

Apr 4, 2018

By Stanislava G

Aug 6, 2018

By Satish M

Mar 2, 2019

By Raffi I

Aug 13, 2020

By Allyson D d L

Oct 17, 2021

By Gabriel A F G

Aug 22, 2020

By Gary C

Mar 20, 2022

By Jaya S S

Sep 12, 2020

By Rodrigo V

Nov 24, 2018

By Bopitiye G U N K

Nov 14, 2020

By Priyantha B K

Nov 2, 2020