Phd Thesis Geospatial Data Analysis Services

Here's a breakdown of the course content:

1. GIS Fundamentals:

   • Map Creation and Editing
   • Understanding GIS Terminologies
   • Georeferencing
   • Geoprocessing Techniques
   • Network Analysis

2. Advanced GIS Concepts:

   • Spatial Analysis
   • Model Builder
   • 3D Visualization

3. Remote Sensing:

   • Image Classification
   • Image Processing with AI
   • Vector Data on EOFactory Platform

4. Python for GIS:

   • Basic and Advanced Python
   • ArcPY for Map Automation

5. Data Analysis and Management:

   • Data Analysis Techniques
   • Data Conversion
   • Data Management Strategies

6. Business Intelligence:

   • Live Dashboards for Business Insights

7. Google Earth Engine:

   • Utilization of Google Earth Engine for Remote Sensing Analysis

8. Databases and Data Management:

   • PostgreSQL with POSTGIS Extension

9. GIS Desktop to Web Transition:

   • GeoServer for Desktop to Web GIS Deployment

10. 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

11. Placement Support:

    • Guaranteed Placement Support
    • Assistance with Interview Preparation
    • Referrals to Various Organizations