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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

4.4
estrelas
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

MW

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.

IT

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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76 — 100 de 144 Avaliações para o Spatial Data Science and Applications

por Sungha J

11 de mai de 2018

por Rajeev K

26 de set de 2018

por ABDUL W

7 de abr de 2021

por KUBİLAY S

26 de out de 2020

por yasser.taufiq

5 de jul de 2020

por Anand R

5 de nov de 2020

por Alfredo A

29 de set de 2019

por Frank J A

16 de set de 2020

por Heena S

15 de jul de 2020

por Fatima A A H ( O A H

29 de set de 2021

por Vivian F L

26 de out de 2020

por MUHAMMAD A B

26 de set de 2020

por Edier V A G

20 de jun de 2020

por SOUGATA M

21 de abr de 2020

por Felipe d J C H

6 de set de 2019

por Gulshanoy A

27 de dez de 2021

por Priyanka C

24 de out de 2018

por Pornlapas [ S

27 de out de 2021

por SOUTRIK S

21 de abr de 2020

por Manisha V

19 de mai de 2022

por sushmita g

4 de out de 2018

por Surendar B B

25 de jun de 2020

por Ankur G

25 de mai de 2020

por Laurence R G A

23 de out de 2020

por Daniel M

4 de mar de 2018