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:

76 - 100 of 146 Reviews for Spatial Data Science and Applications

By Sungha J

May 11, 2018

By Rajeev K

Sep 26, 2018


Apr 7, 2021

By Kubilay S

Oct 26, 2020

By yasser.taufiq

Jul 5, 2020

By Anand R

Nov 5, 2020

By Alfredo A

Sep 29, 2019

By Frank J A

Sep 16, 2020

By Heena S

Jul 15, 2020

By Fatima A A H ( O A H

Sep 29, 2021

By Vivian F L

Oct 26, 2020


Sep 26, 2020

By Edier V A G

Jun 20, 2020


Apr 21, 2020

By Felipe d J C H

Sep 6, 2019

By Gulshanoy A

Dec 27, 2021

By Priyanka C

Oct 24, 2018

By Pornlapas S

Oct 27, 2021


Apr 21, 2020

By Manisha V

May 19, 2022

By sushmita g

Oct 4, 2018

By Surendar B B

Jun 25, 2020

By Ankur G

May 25, 2020

By Laurence R G A

Oct 23, 2020

By Daniel M

Mar 4, 2018