QGIS – Basics is an introductory course designed for beginners who want to understand the fundamentals of Geographic Information Systems. Participants will learn essential concepts such as data types, map creation, and basic spatial analysis. The course emphasizes hands-on experience with ArcGIS software, enabling learners to navigate the interface and utilize tools effectively. By the end of the course, students will have a solid foundation in GIS principles, preparing them for more advanced studies and practical applications in the field.
Hereās a breakdown ofĀ QGIS ā Basics into 60 lessons, organized into modules over 8 weeks.
10. Adding Layers to QGIS
11. Managing Data Sources in QGIS
12. Importing Geospatial Data into QGIS
13. Vector Data Management: Introduction
14. Editing Vector Data in QGIS
15. Advanced Vector Editing Techniques: Snapping and Splitting
16. Attribute Table: Overview and Structure
17. Adding and Editing Attributes
18. Using Field Calculator for Data Management
19. Basic Map Styling in QGIS
20. Visualization Techniques for Vector Data
21. Customizing Symbology for Better Map Interpretation
22. Creating Thematic Maps in QGIS
23. Applying Labels to Features
24. Advanced Labeling Techniques: Expressions and Formatting
25. Creating Map Layouts in QGIS
26. Adding Map Elements: Titles, Legends, and North Arrows
27. Exporting Maps to PDF and Image Formats
28. Introduction to Spatial Analysis in QGIS
29. Performing Buffer Analysis
30. Proximity Analysis: Nearest Neighbor
31. Merging Geospatial Data: Combining Layers
32. Clipping Features in QGIS
33. Dissolving Boundaries and Merging Polygons
34. Introduction to Spatial Queries in QGIS
35. Selecting Features by Attribute and Location
36. Advanced Query Building for Analysis
37. Understanding Raster Data: Basics and Formats
38. Importing Raster Data into QGIS
39. Raster Analysis: Calculating Slope and Elevation
40. Raster Overlay Analysis: Combining Multiple Rasters
41. Reclassifying Raster Data: Changing Values and Classes
42. Converting Raster Data to Vector Data
43. Defining the Objective for a Real-World GIS Project
44. Gathering and Organizing Data for the Project
45. Preprocessing Data: Cleaning and Structuring
46-48. Performing Data Analysis for Decision Making
49. Using Raster and Vector Data Together for Analysis
50. Creating Thematic Maps for Project Presentation
51. Data Quality Assurance and Control
52. Creating Advanced Cartographic Outputs
53. Integrating 3D Data in QGIS
54. Time Series Analysis in QGIS
55. Collaborating on GIS Projects: Sharing Data
56. Publishing Maps Online Using QGIS
57. Using QGIS Cloud for Interactive Maps
58. Final Project Presentation: Map Design and Storytelling
59. Completing the Final Report and Project Review
60. Summary and Next Steps in GIS Learning
30 Days
60
15
English, Hindi
Digital, Physical
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