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Master in GeoSpatial Analysis
6 Month full fledged Training

Job Guaranteed Course

Internship Program

Certificate Course

January 2023 Month Admission Open - Offline (Bangalore & Thiruvananthapuram) & Online - 6 Month

July 6 months with Internship.png

4 Months GIS Training

  • ArcGIS & QGIS (Basic to Advance Level)

  • ArcGIS Online (Web Mapping, Publishing)

  • Python ArcPy (Map Automation, Analysis) 

  • Spatial Analysis using Artificial Intelligence and Machine Learning

  • Databases and Data Management(PostgreSQL with POSTGIS Extension)

  • GIS Desktop to Web (GeoServer)

Post Completion

  • Post Completion of Training and Certification.

  • Student will get an Opportunity to Work as Intern with AGSRT - Research Team lead by our professionals. 

2 Months Internship

  • Internship with Research Team of AGSRT

  • On-Live Current Social Issues.

  • Publication on Reputed Conferences and Journals.

  • Industrial Internship & Research

  • Field Based Studies

  • Placement Support and Guidance.

  • Internship with Training Certificate

  • “Indian and International Scenario, Novel methods  & Innovation”

  • “Projects, Labs for Practice, Assignments and Assessments”

Topics covered - Basic to Advance Level

Basic GIS Topics

  • Introduction to GIS

  • Datum and Projection

  • Data Types, Heads-up Digitization

  • Symbology & Labelling

  • Spatial Data Input and Editing

  • Cartographic Principles and Design

  • Introduction to Database Management

  • Spatial Adjustment

  • Working with CAD data in ArcGIS Desktop

  • Introduction to Vector & Raster GeoProcessing

Advance GIS Topics

  • Introduction to Toolbox (ArcGIS & QGIS)Analysis Tool

  • Network Analysis

  • Introduction to Remote Sensing (Theory and Practicals)

  • Image Classification

  • Performing Spatial Analysis

  • Spatial Statistics

  • Model Builder

  • 3D Visualization Techniques using ArcScene

  • Python - Basic & Advance

  • ArcPY

Basic GIS Topics

1. Introduction to GIS
What is GIS?
What can you do with GIS?
What is Remote Sensing?
Think of ways to apply GIS
What are the Resolutions?
Types of Resolutions
Digital Image Processing
Introduction to GPS
What is Spatial Data Model (Vector and Raster)
Overview of GIS Architecture

2. Datum and Projection

Datum, Coordinate System
Map Projection, Map Scales

3. Data Types, Heads-up Digitization
Vector and Raster Data
Non-Spatial Data (CSV)
Creating Vector Files and Data Collection
Attribute Table Creation/Editing, Join Table
Attribute table (Join Table & Spatial Query
(By Location and Attribute)

4. Symbology & Labelling
Introduction to Symbolization.
Single Symbol, Unique Value
Graduated Colours, Proportional Symbol
Dot Density, Chart, Heat Map
Making a map with labels
Displaying dynamic labels
Reference scale
Controlling which features are labeled
Controlling where labels are placed
Converting labels to annotation 

5. Spatial Data Input and Editing
Introduction to Spatial datasets
Topology & Error Checking
Basic Spatial Adjustment 

6. Cartographic Principles and Design
Introduction. History of Maps.
Map Layout. Symbology. Data Presentation

7. Introduction to Database Management (Practical)
Creating, Managing Geo-Database.
Domain and Subtype. Schema & Topology.
Projections and Transformations.
Feature Conversions. Raster Dataset

8. Spatial Adjustment
Rubber sheet. 
Transformation (Affine, Projective, and Similarity)
Edge Snap

9. Working with CAD data in ArcGIS Desktop
Managing CAD data in ArcGIS
Using CAD data in ArcGIS.
Transforming CAD files.
Understanding CAD coordinate systems
Georeferencing CAD data using real-world coordinates.
Applying projection and world files to CAD data
Converting CAD data to geodatabase feature classes 

10. Introduction to Vector & Raster GeoProcessing
Clip, Buffer, Union, Merge Dissolve – Vector.
Clip, Composit Band, Mosaic, Split Raster

Advance GIS Topics

11. Introduction to Toolbox (ArcGIS & QGIS)
Analysis Tool (Practical)

Proximity Analysis (Buffer, Multiple Ring Buffer, etc.)
Statistics Analysis

12. Network Analysis (Practical)
Finding the Shortest route.
New Service Area.
New Closest Facility
New OD Cost Matrix.
New Location Allocation

13. Introduction to Remote Sensing (Theory and Practicals) (QGIS)
Basic Remote Sensing and Jargon.
Overview of existing satellites (e.g. Landsat and Sentinel).

Future and development of remote sensing.

Hyperspectral Data Analysis (Overview).
Normalized Difference Vegetation Index (NDVI)

14. Image Classification (Practical)
Data exploration and pre-processing.
Collecting training samples.
Evaluating training samples.
Editing classes.
Creating the signature file
Clustering (unsupervised classification).
Examining the signature file
Editing the signature file.
Applying classification.
Post-classification processing

15. Performing Spatial Analysis (Practical)
Lesson introduction.
The geographic approach - revisited.
Questions you can answer with GIS
What is spatial analysis?
Common analysis tasks
Analyze crime data
Watershed Analysis

16. Spatial Statistics (Practical)
Hot Spot Analysis
Geostatistical Analysis

17. Model Builder (Practical)
Building Models for GIS Analysis using ArcGIS.
Create a new geoprocessing model.
Validating the model.
Set model parameters
Prepare the model for sharing

18. 3D Visualization Techniques using ArcScene (Practical)
Data used for 3D visualization.
Raster data.
Triangulated irregular networks (TINs).
Terrain datasets.
Multipatch features.
3D features.
3D navigation basics.
Identify data types.
Hot Spot Analysis

Course Content - Python with ArcPY

Introduction to Python for ArcGIS.

Overview of Python
Python as a Programming Languages.
Basic Python

Core Python

History, Features, Setting up Path
Working with Python, Basic Syntax
Variable and Data Types, Operator

Conditional Statements
If, If- else, Nested if-else

For, While, Nested loops

Control Statements
Break, Continue, Pass

String Manipulation
Accessing Strings, Basic Operations
String slices, Function and Methods
Introduction, Accessing list, Operations
Working with lists, Function and Methods

Introduction, Accessing tuples
Operations, Working, Functions and Methods

Introduction, Accessing values in dictionaries
Working with dictionaries, Properties, Functions