phd thesis geospatial data analysis services
Here's a breakdown of the course content: GIS Fundamentals: Map Creation and Editing Understanding GIS Terminologies Georeferencing Geoprocessing Techniques Network Analysis Advanced GIS Concepts: Spatial Analysis Model Builder 3D Visualization Remote Sensing: Image Classification Image Processing with AI Vector Data on EOFactory Platform Python for GIS: Basic and Advanced Python ArcPY for Map Automation Data Analysis and Management: Data Analysis Techniques Data Conversion Data Management Strategies Business Intelligence: Live Dashboards for Business Insights Google Earth Engine: Utilization of Google Earth Engine for Remote Sensing Analysis Databases and Data Management: PostgreSQL with POSTGIS Extension GIS Desktop to Web Transition: GeoServer for Desktop to Web GIS Deployment Internship and Research Opportunities: 2 Months Unpaid Internship in Bangalore with AGSRT Internship with Research Team of AGSRT Field-Based Studies Industrial Internship & Research On-Live Current Social Issues Discussions Publication Opportunities in Reputed Conferences and Journals Placement Support: Guaranteed Placement Support Assistance with Interview Preparation Referrals to Various Organizations
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38,540 - 45,750 Per
Python Fundamentals: The course begins with a focus on teaching the basics of Python programming language, covering both core concepts and advanced topics. Participants will gain proficiency in Python syntax, data structures, control flow, functions, modules, and more. Object-Oriented Programming (OOP): Students will learn the principles of object-oriented programming using Python. This includes understanding classes, objects, inheritance, encapsulation, and polymorphism, which are fundamental concepts for building efficient and scalable software solutions.
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