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

398 ratings
132 reviews

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.

Jul 4, 2019

very insightful and impacting session laced with applicable examples and contemporary issues. Thank you coursera. Thank you Yonsei University.

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101 - 125 of 130 Reviews for Spatial Data Science and Applications

By Irfan Z I

Jul 1, 2020

it has theory that we cant have from another GIS course, but it lack of practice in using aplication

By Aric W

Mar 11, 2018

It would be better with more applications cases and exercices. But really interesting nonetheless.

By Edward D P

Sep 1, 2020

This course did a very good job of describing the scope and nature of spatial data science.

By Adriana G C

May 27, 2021

excellent course, provides basic concepts between GIS and spatial analytics

By Kiran V

Dec 17, 2018

No hands on experience on GIS tools rather than that content was superb.

By Pirovich N M

Nov 24, 2019

This course was really hard to me but sometimes I enjoyed it.

By Artful D

Mar 19, 2018

eye opening, with relevant and practical knowledge.

By Irina R

Oct 30, 2019

clear presentations and good examples

By Prudence L

Mar 25, 2019

Great teaching, great example cases.

By Ahmed L

Apr 14, 2019

Good lead to Spatial Data Science

By michael f

Aug 24, 2018

Good to understand the concepts

By Michael A

Aug 25, 2020

Great course!

By Pinyo K

Jul 23, 2020

Good lecture

By Muhammad F K

Jul 9, 2020


By Carlos L M C

Nov 23, 2019


By Edgar L D F

Jan 6, 2021

The course brings an introduction to Spatial Data Science with definitions and presentations of methods for solving problems. Nevertheless, it would be better if it may present the concrete step by step applications of those methods to simpler problems. I learned a lot, and as usual, I realized that I need to learn more and more. Thanks a lot Prof Heo, Yonsei University and Coursera.

By Andrew S

Mar 10, 2021

Teaches some good concepts, but does not show full workflows (no opportunity to replicate/ follow along). R code was mentioned, but not shown. :( Has numerous grammatical and spelling errors which could have been prevented with simple spelling & grammar checks in Microsoft Word.

By Muhammad A N

Aug 26, 2020

The topics covered in this course are very complex and interesting. Several open-source software were introduced yet there is no hands-on training. Overall, this course is good to give students an understanding of spatial data science.

By Jairo d S F J

Sep 20, 2020

The course scratches all the areas of Spatial Data Science, overviewing techniques and use cases. Don't expect to learn the tools. Even though it explain the foundations of some tools, it won't teach you how to use them.

By Abhishek W

Apr 9, 2020

Course contents are very relevant to the industry, but the course lack in hands-on tutorials of various spatial data science tools. The tutor should himself go through the tools for the students during the course.

By Sristi S

Mar 4, 2020

The course was quite good for getting the introductory knowledge about spatial data science and its related domain . However, it lacks some practicals work to be done by the enroller itself. Thanks


Apr 11, 2020

Rich course. However, i expected to see more. I expected to learn how to better manipulate QGIS but the course is entirely theoretical

By Milan B

Jan 15, 2020

Good high level overview of spatial data science but the course would have been much better with a hand-on instruction!

By Uday P S B

Apr 22, 2020

Very Informative but lacks hands-on practice or assignments

By Adiwan A

Nov 8, 2020

Need hands-on to use the software