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Volver a Spatial Data Science and Applications

Spatial Data Science and Applications, Yonsei University

4.4
79 calificaciones
25 revisiones

Acerca de este 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....
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24 revisiones

por Camilo Andrade Pérez

Dec 02, 2018

Muy buen curso. Muy completo. Lo recomiendo mucho.

por Rodrigo Vega

Nov 24, 2018

This course was very comprehensive, explanatory and introduced me to some complex applications of spatial data science.

I found the practical problem applications of the last week most useful to integrate the concepts. I think having some similar problems as homework assignments throughout the course could also be very helpful.

por Nils Koesters

Oct 30, 2018

Good quick overview of the discipline. No practical tests. As such I could complete the course in 2 1/2 days. Given the extent of the whole discipline, it is probably impossible to present this in one course. Maybe would need a specialisation. But good info to get you started on filling possible knowledge gaps.

por Priyanka Chouhan

Oct 24, 2018

Awesome

por Johans A. Arica-Gutierrez

Oct 12, 2018

An excellent course, it was an introduction to spatial data science and all techniques that we might apply for different solutions. This course gave us a valuable idea of spatial data science and the importance of the 4 main disciplines of this exciting field. Thanks a lot!

por sushmita ghosh

Oct 04, 2018

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por Rolando Nicolás Fierro Viedma

Oct 03, 2018

Very good course, especially regarding spatial database, because my knowledge was limited only to a spatial analysis.

por Rajeev Kumar

Sep 26, 2018

Course is amazing.

por michael friedman

Aug 24, 2018

Good to understand the concepts

por Michael B. Williams

Aug 14, 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.