Training CUM Internship
3 Months - ArcGIS/Qgis, Python & Arcpy
3 Month Internship Program
Job Guaranteed Course
Internship Program
Certificate Course
July Month Admission Open - Offline - Thiruvananthapuram & Online - 6 Month
3 Months GIS Training with Python & ArcPY
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Students will Learn
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GIS with Remote Sensing.
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3 Months Hands-On Training
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Software ArcGIS & QGIS or ArcGIS Pro
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Python and ArcPY
Post Completion
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Post Completion of Training and Certification.
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Student will get an Opportunity to Work as Intern with AGSRT - Research Team lead by Dr. Salghuna
3 Months Internship
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Internship with Research Team of AGSRT
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On-Live Current Social Issues.
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Publication on Reputed Conferences and Journals.
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Industrial Internship & Research
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Field Based Studies
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Placement Support and Guidance.
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Internship with Training Certificate
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“Indian and International Scenario, Novel methods & Innovation”
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“Projects, Labs for Practice, Assignments and Assessments”
Topics covered - Basic to Advance Level
Basic GIS Topics
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Introduction to GIS
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Datum and Projection
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Data Types, Heads-up Digitization
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Symbology & Labelling
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Spatial Data Input and Editing
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Cartographic Principles and Design
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Introduction to Database Management
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Spatial Adjustment
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Working with CAD data in ArcGIS Desktop
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Introduction to Vector & Raster GeoProcessing
Advance GIS Topics
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Introduction to Toolbox (ArcGIS & QGIS)Analysis Tool
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Network Analysis
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Introduction to Remote Sensing (Theory and Practicals)
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Image Classification
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Performing Spatial Analysis
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Spatial Statistics
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Model Builder
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3D Visualization Techniques using ArcScene
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Python - Basic & Advance
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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)
Extract.
Overlay.
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.
Z-values.
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
Introduction
History, Features, Setting up Path
Working with Python, Basic Syntax
Variable and Data Types, Operator
Conditional Statements
If, If- else, Nested if-else
Looping
For, While, Nested loops
Control Statements
Break, Continue, Pass
String Manipulation
Accessing Strings, Basic Operations
String slices, Function and Methods
Lists
Introduction, Accessing list, Operations
Working with lists, Function and Methods
Tuple
Introduction, Accessing tuples
Operations, Working, Functions and Methods
Dictionaries
Introduction, Accessing values in dictionaries
Working with dictionaries, Properties, Functions
Functions
Defining a function, Calling a function
Types of functions, Function Arguments
Anonymous functions, Global and local variables
Modules
Importing module, Math module, Random module
Packages, Composition
Input-Output
Printing on screen, Reading data from a keyboard
Opening and closing file
Reading and writing files, Functions
Exception Handling
Exception, Exception Handling, Except clause
Try? finally, clause, User-Defined Exceptions
Advance Python
OOPs concept
Class and object, Attributes, Inheritance
Overloading, Overriding, Data hiding
Regular expressions
Match function, Search function
Matching VS Searching, Modifiers, Patterns
Multithreading
Thread, Starting a thread, Threading module
Synchronizing threads, Multithreaded Priority Queue
Python for ArcGIS(ArcPy)
Important Python Modules for GIS Analysis
Configuring the Python Environment
Creating the First Python Script
Complex ArcPy Scripts and Generalizing Functions
ArcPy Cursors – Search, Insert, and Update
Working with ArcPy Geometry Objects
Creating a Script Tool
Introduction to ArcPy.Mapping
More ArcPy.Mapping Techniques
Advanced Geometry Object Methods
Network Analyst and Spatial Analyst with ArcPy
Advantage - AGSRT - GIS Training
Who Can Attend the Training
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Graduates, Post Graduates.
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PhD Scholars.
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Faculties.