Chevron Left
Volver a Spatial Data Science and Applications

Opiniones y comentarios de aprendices correspondientes a Spatial Data Science and Applications por parte de Universidad Yonsei

4.4
estrellas
451 calificaciones

Acerca del 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....

Principales reseñas

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 may. 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.

Filtrar por:

1 - 25 de 144 revisiones para Spatial Data Science and Applications

por Jesús A

7 de jun. de 2019

por Kumar R

27 de jul. de 2019

por rustom s

8 de abr. de 2018

por Zack D

8 de jun. de 2018

por Julia H

17 de abr. de 2020

por CHESSEL P

16 de jul. de 2019

por Gopinath P

3 de sep. de 2019

por Tino K

3 de feb. de 2021

por Pankaj W

7 de dic. de 2019

por AMAN T

6 de abr. de 2020

por Michael B

10 de jun. de 2018

por MONCADA S J F

18 de jun. de 2020

por Keith P C L

15 de sep. de 2020

por Ahmed W M

2 de may. de 2020

por Daniel L

4 de abr. de 2018

por Stanislava G

6 de ago. de 2018

por Satish M

2 de mar. de 2019

por Raffi I

13 de ago. de 2020

por Allyson D d L

17 de oct. de 2021

por Gabriel A F G

22 de ago. de 2020

por Gary C

20 de mar. de 2022

por Jaya S S

12 de sep. de 2020

por Rodrigo V

24 de nov. de 2018

por Bopitiye G U N K

14 de nov. de 2020

por Priyantha B K

2 de nov. de 2020