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.
от партнера
Spatial Data Science and Applications
Университет ЁнсеОб этом курсе
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Попробуйте Coursera для бизнесаПриобретаемые навыки
- Spatial Analysis
- Qgis
- Big Data
- Geographic Information System (GIS)
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Программа курса: что вы изучите
Understanding Spatial Data Science
Solution Structures of Spatial Data Science Problems
Geographic Information System (GIS)
Spatial DBMS and Big Data Systems
Рецензии
- 5 stars60,52 %
- 4 stars28,19 %
- 3 stars7,37 %
- 2 stars1,95 %
- 1 star1,95 %
Лучшие отзывы о курсе SPATIAL DATA SCIENCE AND APPLICATIONS
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.
Excellent introductory course in Spatial Data Science. Ready for a more hands-on course!
most of the part is covered a good value addition course for spatial data science.
Excellent Faculty and nice correlation of GIS subject with Data Science.
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