GIS & Spatial Data Analysis
Develop practical GIS and spatial data analysis skills using QGIS, ArcGIS, field data collection tools, satellite imagery, and real-world geospatial projects.
6
Assessments
37
Modules
10
Hours
04
Downloads
✓
Certificate
About this course
Knowlary's GIS and Spatial Data Analysis course is a 10-week practical training program covering geographic information systems, spatial data collection, mapping, remote sensing, and geospatial analysis.
Learners work with QGIS, introductory ArcGIS Online workflows, real datasets, field data collection tools, and satellite imagery to understand how geospatial technologies support planning, environmental analysis, and decision-making.
The program includes case studies from Nepal's urban and rural areas, professional map styling, spatial analysis, GIS dashboards, and a capstone project with expert feedback.
Participants also gain exposure to GPS-based field data collection, KoboToolbox, ODK, Sentinel and Landsat imagery, and raster analysis techniques.
What you'll walk away with
- Understand GIS fundamentals, spatial data, coordinate systems, and projections
- Work with QGIS and gain introductory experience with ArcGIS Online
- Collect, digitize, clean, manage, and edit spatial datasets
- Create professional maps using cartography, symbology, and map layouts
- Perform spatial analysis using buffering, clipping, spatial joins, and intersection
- Collect field data using GPS, KoboToolbox, and ODK
- Work with Sentinel and Landsat satellite imagery
- Apply NDVI, land-use change detection, raster analysis, and classification techniques
- Build GIS dashboards and communicate spatial insights
- Complete a practical GIS capstone project focused on real-world decision support
Prerequisites
- Basic computer skills are recommended
- An interest in geography, mapping, spatial data, or environmental analysis is helpful
- Some familiarity with maps or geographic concepts may be beneficial
- Contact Knowlary to confirm the recommended technical background before enrollment
Curriculum
Section 01Section 01
Introduction to GIS
Section 01
Introduction to GIS
- •GIS concepts and applications
- •Spatial data fundamentals
- •Vector and raster data
- •Coordinate reference systems
- •Map projections
- •GIS applications in Nepal
Section 02Section 02
GIS Tools — QGIS & ArcGIS
Section 02
GIS Tools — QGIS & ArcGIS
- •Introduction to QGIS
- •GIS project setup and layer management
- •Working with vector and raster layers
- •Introduction to ArcGIS Online
- •GIS data visualization
- •Real-world geospatial datasets
Section 03Section 03
Spatial Data Collection & Management
Section 03
Spatial Data Collection & Management
- •Spatial data collection methods
- •Data digitization and editing
- •Spatial data cleaning and management
- •GPS-based field data collection
- •KoboToolbox and ODK workflows
- •Geospatial data quality
Section 04Section 04
Geospatial Analysis Techniques
Section 04
Geospatial Analysis Techniques
- •Buffer analysis
- •Clip and intersection operations
- •Spatial joins
- •Overlay analysis
- •Spatial data interpretation
- •Spatial decision support
Section 05Section 05
Remote Sensing Basics
Section 05
Remote Sensing Basics
- •Introduction to remote sensing
- •Satellite imagery and data sources
- •Sentinel and Landsat imagery
- •Raster data analysis
- •NDVI calculations
- •Land-use change detection
- •Classification techniques
Section 06Section 06
Capstone Project & Presentation
Section 06
Capstone Project & Presentation
- •Selecting a practical GIS problem
- •Collecting and preparing geospatial data
- •Applying GIS analysis techniques
- •Professional map styling and layout design
- •GIS dashboards and spatial visualization
- •Presenting findings and recommendations
Your instructor
Sarita Adhikari
GIS Specialist & Remote Sensing Analyst
Sarita Adhikari has over 10 years of experience in spatial planning and environmental mapping. She brings practical expertise in GIS, remote sensing, spatial analysis, and applying geospatial technologies to real-world planning and environmental challenges.
Common questions
Who should take this GIS and Spatial Data Analysis course?
The course is suitable for learners and professionals interested in GIS, spatial planning, geography, environmental mapping, remote sensing, and geospatial data analysis. It is listed at the intermediate level.
Which GIS software and tools will I learn?
You will receive practical exposure to QGIS and introductory ArcGIS Online workflows. The course also covers field data collection using GPS, KoboToolbox, and ODK, along with satellite imagery and geospatial datasets.
Will I learn practical spatial analysis and remote sensing?
Yes. Topics include buffering, clipping, spatial joins, intersection, raster analysis, NDVI, land-use change detection, and satellite imagery from Sentinel and Landsat.
How long is the course, and how much does it cost?
The course runs for 10 weeks and costs NPR 19,000. Contact Knowlary for upcoming cohort dates, class schedules, and enrollment information.
Will I complete a project that demonstrates my GIS skills?
Yes. The program includes a practical capstone project where you apply GIS techniques to a real-world problem, prepare maps or spatial visualizations, and present your findings with expert feedback.
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