Course description
This course will begin by introducing you to the meaning of geographic information systems. You will learn about the concepts in GIS, and how to represent data in the real world. You will be informed on how data flows, the different databases, models, and the various opportunities available in the GIS field. This will lead you to ways in which data can be collected, where data can be gotten, and how data can be generated.
Next, this free online course will bring you up to speed with data quality, databases available, and how to use them in geographic information systems. You will further be informed of the various analyses that can be done on the data collected. You will gain an understanding of the software used in mastering tools and signs in geographic information systems. You will then learn about the use of GIS along with other technologies in representing data to the real world.
Lastly, you will be introduced to the global positioning system, which is one of those systems which can be a key technology that drives the geographic information system. You will then gain an understanding of how different data can be collected using a geographic positioning system. This will then lead you to remote sensing, which is, using earth-orbiting satellites or even high altitude planes in order to collect information about images of a region, an area, or a phenomenon. This will further bring you up to speed with spatial analysis which has to do with using a system to derive meaningful information from data.
Upcoming start dates
Training content
Introduction to Geographical Information System
Description: This module discusses aspects of geographic information, geographic information technologies, remote sensing, and spatial analysis. You will learn about geographic information science, spatial data, attribute data, the disciplines contributing to GIS, and the applications of GIS. You will also learn about the origins of GIS, GIS capabilities, spatial data acquisition; data investigation, and software integration.
- Learning Outcomes
- Geographic Information System
- Geographic Information Science
- Origin and Idea of GIS
- Spatial Data Acquisition
- Thematic Mapping and Data Investigation
- Lesson Summary
Representing a Real World in Digital Scape
Description: In this module, you will learn about representing the real-world on a digital scale. You will be introduced to how to convert real-world data into a digital real-world model, and the principles of the real-world model. You will also learn about entities in the real-world model, attributes, and relationships.
- Learning Outcomes
- Real World to Digital World Through GIS
- GIS Data Models
- Quality of data
- GIS Data Collection
- Methods of Generating Data for GIS
- Lesson Summary
Data Types and Data Models
Description: This module discusses what data is, the kind of data that can be handled by GIS, the different data models, and examples of data models. You will learn about the vector data model, the two types of vector data models which arethe spaghetti data model and the topological data model. You will also learn about representing the real world in the surface model.
- Learning Outcomes
- Types of Data
- Vector Data Model
- Raster Data Model
- Surface Representation
- Triangulated Irregular Network
- Lesson Summary
Querying, Georeferencing and Map Projections
Description: This module discusses how to do georeferencing, the kinds of different systems there are, and different projections. You will learn about geoid, what kind of geoid is there, and how we look at the geoid as a reference point. You will then learn about datums, how we look at datums, and certain coordinatesystems.
- Learning Outcomes
- Querying and Georeferencing
- Elevation, Relative and Discrete Referencing
- Coordinate Systems
- Maps and Numbering
- Map Projections
- Lesson Summary
GIS Data Quality
Description: This module explores data quality, the different data measures, data assessment techniques, and errors that they may have. You will learn about the aspects considered for data accuracy, the factors affecting spatial data quality, and the sources of error in spatial data. You will also learn about map display and visualization in GIS.
- Learning Outcomes
- Data Quality and Measures
- Positional Accuracy and Source of Errors
- Classification Accuracy and Pixel Errors
- Spatial Data Editing and Transformations
- Map Display and Visualization in GIS
- Lesson Summary
Global Positioning System
Description: This module explores the global positioning system. You will learn about the history of the global positioning system, the working principles, GPS satellite signals, and errors in GPS. You will also learn about the global navigation satellite system and an introduction to QGIS.
- Learning Outcomes
- Introduction to GPS
- GPS: Working and Signals
- GPS Errors and DGPS
- GNSS and Applications
- Introduction to QGIS
- Lesson Summary
Diploma in Advanced Geographic Information Systems - First Assessment
Description: You need to score 80% or more to pass this assessment.
- Assessment: Advanced Diploma in Geographic Information Systems- First Assessment
Introduction to Database and Database Management System
Description: This module discusses the meaning of a database and database management system. You will learn about how to store data, how to retrieve data, And most importantly, the different ways of storing data in the different databases that are available. You will also learn about the languages that are being used in order to manage this database or query data from the database.
- Learning Outcomes
- Introduction to Database
- Components of a Database Management System
- Database Keys and Normalization
- DBMS Models
- Normalization Forms
- Lesson Summary
Database Query and Spatial Analysis
Description: This module discusses how to create, maintain, edit, and how well you can use a database. You will learn about the different types of databases, how thequerying can be done, and how to address certain issues when creating a database. You will also learn about the structured query language, spatial analysis, and basic editing.
- Learning Outcomes
- Creating and Maintaining a database
- Spatial Query using SQL - Introduction
- Database Design and Spatial Analysis
- Classification Systems
- Basic Editing of Data
- Lesson Summary
Basic and Advanced Spatial Analysis of Data
Description: This module explores remote sensing in GIS, spatial analysis, the basic spatialanalysis with examples, and also advanced spatial analysis with some examples. You will learn about the limitations of having a geographical information system in place, and a formal problem in establishing GIS.
- Learning Outcomes
- Introduction to Remote Sensing
- Basic Spatial Analysis
- Report Generation: Overlay and Buffers
- Points in Polygon Analysis
- Advanced Spatial Analysis
- Lesson Summary
Introduction to QGIS and Data Import
Description: This module discusses the interface of QGIS, importing vector data, tabular data, and raster data into the QGIS interface. You will learn about the properties, identification of features; the attribute table followed by metadata inspection and properties viewing.
- Learning Outcomes
- Introduction to QGIS and Data Importing
- QGIS Plugins
- Georeferencing an Image
- Creating Vector Features
- Vector Functions and Querying
- Lesson Summary
Data Generation and Analysis using Various Sources
Description: This module explores where to get the raster data from. You will learn how to download raster data, how to perform terrain analysis; such as slope, aspect, hill shade, and contour. You will also learn how a raster calculator works and QGIS, which has an inbuilt raster calculator function.
- Learning Outcomes
- Data Acquisition and Raster Functions
- How to Analyse Various Raster Functions
- Map Composition
- Bhuvan Geoportal and Google Earth
- Introduction to R Software
- R and its Functions
- Lesson Summary
Open Source GIS Software and Geoserver
Description: This module explores how well open-source software is designed and how it actually compares with proprietary software. You will understand how an open-source standard is being built and how India is actually becoming a greater game. You will gain more understanding of the open-source software and how you can use it.
- Learning Outcomes
- Open Source GIS Software
- Open Source Software Image Map
- Pros and Cons of Open Source
- GIS Data Standards
- Open Geospatial Consortium (OGC)
- National Spatial Data Infrastructure (NSDI)
- Introduction to Web GIS and GeoServer
- Geoserver: Raster and SLD Integration
- Lesson Summary
Advanced Diploma in Geographic Information Systems - Second Assessment
Description: You need to score 80% or more to pass this assessment.
- Assessment: Diploma in Advanced Geographic Information Systems - Second Assessment
Course assessment
- Assessment: Advanced Diploma in Geographic Information Systems - Course Assessment
Certification / Credits
By the end of this course, you should be able to:
- Analyze the technology that is driving the geographic information and how the systems work
- Define geographic information technology
- Compare the differences between geographic information systems and spatial analysis
- Discuss GIS as a platform for analysis
- Explain the meaning of geographic information
- Discuss how the real-world data can be handled and how it can be converted to a digital world data
- Explain how the real-world phenomena are actually approximated in digital world phenomena
- List the two types of data sources in GIS
- Identify the different methods of generating data for a GIS
- Identify the database management system models
- Discuss how to create and maintain a database
- Explain the meaning of spatial analysis in GIS
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