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Course Description
Through this course, students will learn how to publish, consume, and analyze web services using Python, Javascript, and HTML. They will be introduced to more powerful, more advanced Python libraries such as Pandas, Numpy, and ArcGIS in addition to learning advanced geographic data visualization techniques that leverage Python, Javascript, and web APIs. They will also learn how to use Javascript to create their first stand-alone web applications. Topics will include using GitHub to host web applications, using Javascript and HTML to create web applications, and using Python for spatial data science.Learner Outcomes
- Students will develop programming skills that are beyond the fundamentals of Introduction to Programming for GIS and remote sensing.
- Students will learn how to work with geographic web services, including, but not limited to automating publishing web services, consuming web services, and performing analysis directly on geographic web services.
- Students will learn modern data science methods and tools that can be used to augment their research in geography and remote sensing.
- Students will begin implementing it in their own research projects such as theses and capstones.
Prerequisites
GEO5090 - Introduction to Programming for GIS/Remote Sensing or equivalent experience.
Duration
30 Hours | 5 Days or 10 NightsLoading...
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*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.
*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.