Spatial Data Science and Applications

Description

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.


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Career Relevance by Data Role

The techniques and tools covered in Spatial Data Science and Applications are most similar to the requirements found in Data Scientist job advertisements.


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Fast Facts

Tools
HadoopHivePostgreSQLR

Techniques
AlgorithmsBig DataClassificationCluster AnalysisData AnalysisData AnalyticsData ModelingData ProcessingData ScienceDatabasesDecision TreesMapReduce

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