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

4.4
stars
498 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

MW

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.

SA

Mar 28, 2024

Taking the Spatial Data Science and Applications course was a valuable experience for me... It deepened my understanding of spatial data and how it can be applied in various contexts

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151 - 159 of 159 Reviews for Spatial Data Science and Applications

By Sristi S

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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

By FORSI N B

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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

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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

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Apr 22, 2020

Very Informative but lacks hands-on practice or assignments

By Charafeddine M

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Nov 21, 2022

It needs to add some applications within tools.

By adiwan F A

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Nov 8, 2020

Need hands-on to use the software

By Ahmed E

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Dec 30, 2019

need more practicality

By CODES 4

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Nov 9, 2020

Nice Course

By Yesi M Z A

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Oct 31, 2022

no es lo que esperaba