Basic GIS Certificate Course (5 days)

About Course

This 40-hour certificate course provides a foundational understanding of Geographic Information Systems (GIS). Participants will gain hands-on experience with essential GIS concepts, data acquisition and processing techniques, spatial analysis methods, and cartographic principles for creating effective maps.

Course Coordinator
Mr. Saurabh sable

Upon completion of this course, participants will be able to:
Define GIS and explain its applications in various fields.
Identify the key components of a GIS system.
Differentiate between vector and raster data formats.
Describe common methods for acquiring GIS data (GPS, satellite imagery, etc.).
Perform basic data cleaning, editing, and transformation.
Apply spatial analysis techniques (buffering, overlay, proximity analysis).
Conduct attribute-based analysis using queries and statistical methods.
Create effective maps using basic cartographic principles

Course Content

Module 1: Introduction to GIS (6 Hours)

1.1 Understanding GIS and Its Applications
1.2 Components of GIS: Hardware, Software, Data, and People
1.3 Historical Development and Evolution of GIS
1.4 GIS Software Overview and Basic Operations

Module 2: GIS Data Fundamentals (6 Hours)

Module 3: GIS Data Acquisition and Processing (6 Hours)

Module 4: GIS Data Analysis and Cartography (6 Hours)

Module 5: Practical Application and Review (6 Hours)

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Basic GIS Certificate Course (5 days)

About Course

What Will You Learn?

Course Content

Module 1: Introduction to GIS (6 Hours)

1.1 Understanding GIS and Its Applications

1.2 Components of GIS: Hardware, Software, Data, and People

1.3 Historical Development and Evolution of GIS

1.4 GIS Software Overview and Basic Operations

Module 2: GIS Data Fundamentals (6 Hours)

2.1 Types of GIS Data: Vector vs. Raster Data

2.2 Data Formats: Shapefiles, GeoTIFF, GeoJSON, etc.

2.3 Spatial Data Sources: Remote Sensing, GPS, Surveys, etc.

2.4 Introduction to Coordinate Systems and Projections

Module 3: GIS Data Acquisition and Processing (6 Hours)

3.1 Data Collection Methods: GPS, Digitizing, Satellite Imagery, etc.

3.2 Data Preprocessing: Cleaning, Editing, and Transforming Data

3.3 Introduction to Spatial Analysis Techniques

Module 4: GIS Data Analysis and Cartography (6 Hours)

4.1 Spatial Analysis Techniques: Buffering, Overlay Analysis, Proximity Analysis, etc.

4.2 Attribute-Based Analysis: Querying, Statistical Analysis, etc.

4.3 Principles of Cartography: Symbolization, Scale, Generalization, etc.

Module 5: Practical Application and Review (6 Hours)

5.1 Hands-On Exercises Using GIS Software

5.2 Review of Key Concepts and Q&A Session

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