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

4.4
stars
511 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

MK

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Excellent and brief course to understand the concepts and application of spatial data science wrt big data.

BC

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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

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151 - 162 of 162 Reviews for Spatial Data Science and Applications

By Muhammad A N

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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

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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

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Apr 8, 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

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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 21, 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