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:

126 - 146 of 146 Reviews for Spatial Data Science and Applications

By Prudence L

Mar 25, 2019

By Ahmed L

Apr 14, 2019

By michael f

Aug 24, 2018

By Michael A

Aug 25, 2020

By Pinyo K

Jul 23, 2020

By Muhammad F K

Jul 9, 2020

By Carlos L M C

Nov 23, 2019

By Edgar L D F

Jan 6, 2021

By Andrew S

Mar 10, 2021

By Muhammad A N

Aug 26, 2020

By Jairo d S F J

Sep 20, 2020

By Abhishek W

Apr 9, 2020

By Sristi S

Mar 4, 2020


Apr 11, 2020

By Milan B

Jan 15, 2020

By Uday P S B

Apr 22, 2020

By Charafeddine M

Nov 21, 2022

By adiwan F A

Nov 8, 2020

By Ahmed E

Dec 30, 2019


Nov 9, 2020

By Yesi M Z A

Oct 31, 2022