ArcGIS – 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.
Here’s a breakdown of ArcGIS – Basics into 60 lessons, organized into modules over 8 weeks.
10. Importing Geospatial Data into ArcGIS
11. Exporting Data: File Types and Formats
12. Managing Data Sources and Coordinate Systems
13. Editing Vector Data: Introduction to Editing Tools
14. Creating and Modifying Features in ArcGIS
15. Advanced Editing Techniques: Snapping and Splitting
16. Attribute Table: Overview and Structure
17. Adding and Editing Attributes
18. Using Field Calculator for Data Management
19. Introduction to Spatial Analysis in ArcGIS
20. Performing Buffer Analysis
21. Proximity Analysis: Nearest Neighbor
22. Clipping Features: How and When to Use
23. Merging Datasets: Combining Geospatial Layers
24. Union and Intersect Tools in ArcGIS
25. Introduction to Geoprocessing: Basic Concepts
26. Using Model Builder for Automated Geoprocessing
27. Running Batch Processes in ArcGIS
28. Principles of Map Design: Layout and Composition
29. Adding and Managing Map Elements (Titles, Legends)
30. Working with Basemaps and Backgrounds
31. Customizing Symbology: Symbols and Colors
32. Applying Labels to Features
33. Advanced Labeling: Expressions and Formatting
34. Creating Map Layouts for Printing
35. Inserting Scale Bars, North Arrows, and Logos
36. Exporting Maps to PDF and Image Formats
37. Understanding Raster Data: Basics and Types
38. Importing Raster Data into ArcGIS
39. Reclassifying Rasters: Changing Values and Classes
40. Raster Analysis: Calculating Slope and Elevation
41. Performing Raster Overlay Analysis
42. Converting Raster Data to Vector Data
43. Real-World GIS Project: Defining the Objective
44. Gathering Data for the Final Project
45. Preprocessing Data: Cleaning and organizing
46-48. Performing Data Analysis for Decision Making
49. Visualization Techniques for Data Insights
50. Creating Thematic Maps for Presentation
51-55. Final Project Presentation: Map Design
56-58. Completing the Final Report and Project Review
59-60. Summary and Next Steps in GIS Learning
30 Days
60
15
English, Hindi
Digital, Physical
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