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Certificate Course In GIS Desktop - Advance



ArcGIS/Q-GIS. MicroStation and LPS2011 are GIS is the most popular software available to perform any GIS type work. This course is geared toward understanding the fundamental concepts of:

  • Geographic Information Science, Remote Sensing, and Cartography.  

  • Geoprocessing, Network Analysis, Spatial Analysis, Land Use, and Land Cover, HotSpot Analysis, Interpoloation, Web Services (WMS and WFS) 

  • Spatial Query, Spatial Database Concepts with PostGIS(QGIS), Introduction to Geoserver using QGIS.

  • Analyze spatial data (Extract, Overlay and Proximity), 3D Analysis.

The candidate(s) will be made familiar with the Analysis concepts of GIS, remote sensing and definitions such as spatial imagery, digital image, and digital image processing/analysis etc. amongst others. Different variety of spatial data will be introduced and worked upon. Introduction to spatial analysis will provide an understanding for opting appropriate analysis tool for specific project. 


Basic to Intermediate Level Understanding of GIS and Remote Sensing.

Course duration:

2 to 3 month (s.t. Instructors/Student discretion)

Mode of Training -

Bangalore - Classroom + Practicals.

Online - Live Online Classes. Daily 2 Hrs(Need to have a laptop or Computer with Good Internet)

               Dedicated Trainer, Practical sessions. One-on-One Live Training Session.

Course objectives:

On completion the successful student will: 

  • Be proficient in using ArcMap & QGIS.

  • Be able to perform GIS Analysis work.

  • Understand and be able to connect and publish Database and GIS Server.

  • Know about the potential of and the procedures of spatial analysis.

  • Be able to make maps for publishing. 

Software Requirements:


Topics to be covered 

Module 1 - Introduction to GIS (Theory) 

  • What is GIS?

  • What can you do with GIS?

  • What is Remote Sensing?

  • Think of ways to apply GIS

  • What is Resolutions?

  • Types of Resolutions

  • Digital Image Processing

  • Introduction to GPS

  • What is Spatial Data Model (Vector and Raster)

  • Overview of GIS Architecture



Module 2

Datum and Projection  

  • Datum

  • Coordinate System

  • Map Projection

  • Map Scales

Module 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)

Module 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 labelled

  • Controlling where labels are placed

  • Converting labels to annotation 

Module 5

Spatial Data Input and Editing 

  • Introduction to Spatial datasets

  • Topology & Error Checking

  • Basic Spatial Adjustment 

Module 6 -   

Remote Sensing & Orth rectification    

  • Satellite Imagery and Types – Point Cloud

  • Using GCP, Vector files, KML, Top sheets, PDF

  • Heat Map using QGIS and Hotspot Analysis

Module 7 - Cartographic Principles and Design  

  • Introduction.

  • History of Maps.

  • Map Layout.

  • Symbology.

  • Data Presentation

Module 8

Introduction to Database Management (Practical) 

  • Creating, Managing Geo-Database.

  • Domain and Subtype.

  • Schema & Topology.

  • Projections and Transformations.

  • Feature Conversions.

  • Raster Dataset

Module 9 -   

Remote Sensing & Orth rectification    

  • Rubbersheet .

  • Transformation (Affine, Projective and Similarity)

  • Edge Snap

Module 10- 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 

Module 11

Introduction to Vector & Raster GeoProcessing 

  • Clip, Buffer, Union, Merge Dissolve – Vector.

  • Clip, Composit Band, Mosaic, Split Raster

 Introduction to Toolbox (ArcGIS & QGIS) 

Module 12 -    Analysis Tool (Practical)

  • Extract.

  • Overlay.

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

  • Statistics Analysis

 Introduction to Toolbox (ArcGIS & QGIS) 

Module 13 -     Network Analysis (Practical)

  • Finding Shortest Route.

  • New Service Area.

  • New Closest Facility

  • New OD Cost Matrix.

  • New Location Allocation

Module 14 - Introduction to Remote Sensing (Theory and Practials) (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)

Module 15

 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

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