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 ApplicationsUniversité Yonsei
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- 5 stars60,87 %
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Meilleurs avis pour SPATIAL DATA SCIENCE AND APPLICATIONS
The most comprehensive introductory cause in Geo-spatial Data science . I love it.
Excellent and brief course to understand the concepts and application of spatial data science wrt big data.
This course did a very good job of describing the scope and nature of spatial data science.
This is such a great course, thank you for sharing your knowledge to us about spatial data science
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