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.
Spatial Data Science and ApplicationsUniversidad Yonsei
Acerca de este Curso
Habilidades que obtendrás
- 5 stars61,14 %
- 4 stars27,81 %
- 3 stars7,28 %
- 2 stars1,98 %
- 1 star1,76 %
Principales reseñas sobre SPATIAL DATA SCIENCE AND APPLICATIONS
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
This course did a very good job of describing the scope and nature of spatial data science.
This was a great course as it was highly insightful, however, the course will be more impacting if you introduce a hand on session. Thank you
The entire concept of Spatial Data Science is simplified to the understanding of an intermediate learner. Thank you
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