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Voltar para Spatial Data Science and Applications

Comentários e feedback de alunos de Spatial Data Science and Applications da instituição Universidade Yonsei

451 classificações

Sobre o curso

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....

Melhores avaliações


13 de ago de 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.


19 de mai de 2022

Very grateful to Yonsei University for the course received, and I congratulate them for the effort made in preparing the course, highly recommended for beginners in Spatial Data Science.

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101 — 125 de 144 Avaliações para o Spatial Data Science and Applications

por Vignesh T

12 de jun de 2019

por Prabuddha D B

11 de mar de 2021

por Nils K

30 de out de 2018

por Sina N A

24 de out de 2020

por Pradip S

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por Michael I

22 de mai de 2021

por Jefferson R V J

4 de out de 2020

por Yuan L

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por Antonio M M

29 de set de 2020

por Marino M

11 de jul de 2019

por Guillaume R

5 de jun de 2018

por john i

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por Nicolas M H

10 de jun de 2020

por Victor F

27 de abr de 2021

por Mehreen K

20 de jun de 2020

por Irfan Z I

1 de jul de 2020

por Aric W

11 de mar de 2018

por Edward D P

1 de set de 2020

por Adriana G C

27 de mai de 2021

por Kiran V

17 de dez de 2018

por Pirovich N M

24 de nov de 2019

por Giulio V

25 de mai de 2022

por Art

19 de mar de 2018

por Irina R

30 de out de 2019