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 Applications
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來自SPATIAL DATA SCIENCE AND APPLICATIONS的熱門評論
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.
very insightful and impacting session laced with applicable examples and contemporary issues. Thank you coursera. Thank you Yonsei University.
Great course which starts with basics, gets descriptive with examples, real life scenarios, usage of software. Definitely recommended.
It would be better with more applications cases and exercices. But really interesting nonetheless.
most of the part is covered a good value addition course for spatial data science.
The most comprehensive introductory cause in Geo-spatial Data science . I love it.
No hands on experience on GIS tools rather than that content was superb.
Excelent!! It could be an specialization of Spatial Data Science!!
eye opening, with relevant and practical knowledge.