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ArcGIS Intermediate

Home - ArcGIS - Intermediate

ArcGIS - Intermediate

  • 150 Lessons
  • 3 Months

Description

ArcGIS – Intermediate is designed for individuals looking to enhance their GIS skills beyond the basics. This course covers essential tools and techniques for data management, spatial analysis, and map creation. Participants will learn to utilize advanced features such as geoprocessing, spatial statistics, and customization of ArcGIS tools. Through practical exercises and real-world scenarios, learners will gain confidence in handling various geospatial tasks, preparing them for more complex projects and applications in their professional endeavors. Similarly for 12 weeks

Participants will engage in practical exercises that enhance their skills in using ArcGIS for complex data visualization, mapping, and problem-solving. By the end of the course, learners will be equipped to tackle advanced GIS projects with confidence, significantly boosting their professional capabilities in the geospatial field.

Benefits

  • Strengthen data management skills with advanced tools.
  • Master geoprocessing and spatial analysis techniques.
  • Learn to create professional map layouts and designs.
  • Gain hands-on experience with real-world scenarios.
  • Prepare for more complex GIS tasks and projects.
  • Improve problem-solving capabilities using ArcGIS features.
  • Increase efficiency in customizing and automating workflows.
  • Enhance career opportunities with intermediate-level ArcGIS proficiency.
Mon-Wed-Fri 09:00 AM - 08:00 PM
Tue-Thu-Sat 08:00 AM - 05:00 PM
Sunday Closed

Syllabus

Here’s a breakdown of ArcGIS – Intermediate into 150 lessons, organized into modules over 16 weeks.

  1. Overview of Data Management in GIS
  2. Importance of Efficient Data Import and Export
  3. Importing Vector and Raster Data
  4. Exporting Data: Formats and File Types
  5. Managing Data Sources in ArcGIS 
  6. Introduction to Geodatabases
  7. Creating a File Geodatabase
  8. Organizing Data within Geodatabases
  9. Versioning in Geodatabases
  10. Data Integrity and Best Practices
  11. Using Domains for Data Quality Control
  12. Creating and Managing Coded Domains
  13. Attribute Management Basics
  14. Editing Attributes for Accuracy
  15. Using Field Calculator for Attribute Management
  16. Creating Relationships Between Tables
  17. Editing Data in Geodatabases
  18. Multi-user Editing in ArcGIS Pro
  19. Setting Permissions and Access Controls
  20. Synchronizing Geodatabase Replicas
  21. Introduction to Versioning in Geodatabases
  22. Tracking Edits and Managing Versions
  23. Reconciling and Posting Edits
  24. Advanced Data Quality Control in ArcGIS 
  25. Best Practices for Geodatabase Maintenance
  26. Data Archiving in ArcGIS
  27. Data Backup and Recovery Strategies
  1. Introduction to Spatial Analysis in GIS
  2. Geoprocessing Tools Overview
  3. Overview of Spatial Analysis Techniques
  4. Buffer Analysis Basics
  5. Advanced Buffering Techniques
  6. Clipping Data for Specific Analysis
  7. Dissolving Boundaries in GIS
  8. Intersect Analysis: Basics
  9. Advanced Use of Intersect Tool
  10. Performing Union Analysis
  11. Differences Between Intersect and Union
  12. Overlay Analysis Overview
  13. Spatial Joins and Their Applications
  14. Working with Attribute Joins
  15. Overlaying Data Layers
  16. Introduction to Raster Data Analysis
  17. Converting Vector to Raster
  18. Converting Raster to Vector
  19. Raster Calculator Basics
  20. Reclassifying Raster Data
  21. Masking Raster Data for Analysis
  22. Conducting Proximity Analysis
  23. Calculating Distance Buffers
  24. Viewshed Analysis in ArcGIS 
  25. Cost Distance Analysis Basics
  26. Path Analysis Using Cost Distance
  27. Density Analysis in Raster
  28. Kernel Density Calculation
  29. Hotspot Analysis: Concepts and Use
  30. Analyzing Spatial Patterns
  31. Spatial Clustering Basics
  32. Cluster Analysis in GIS
  33. Evaluating Spatial Relationships
  1. Introduction to Map Design
  2. Principles of Effective Map Layouts
  3. Thematic Map Creation Basics
  4. Creating Classification Maps
  5. Designing Choropleth Maps
  6. Symbology Customization: Basics
  7. Advanced Symbology Techniques
  8. Working with Color Schemes
  9. Applying Graduated Colors and Symbols
  10. Customizing Symbols for Map Features
  11. Labeling Features: Basic Techniques
  12. Advanced Label Placement Rules
  13. Label Expression Creation
  14. Dynamic Labeling in ArcGIS
  15. Introduction to Annotation
  16. Customizing Map Layout Elements
  17. Adding Scale Bars and North Arrows
  18. Working with Legends and Titles
  19. Designing Multi-layer Maps
  20. Creating Insets and Overview Maps
  21. Preparing Maps for Printing
  22. Exporting Maps as PDFs and Images
  23. Sharing Maps Online in ArcGIS
  24. Using Layout Templates in ArcGIS
  25. Enhancing Map Aesthetics
  26. Best Practices for Cartography
  1. Introduction to Spatial Statistics
  2. Understanding Spatial Autocorrelation
  3. Basics of Spatial Statistics Tools
  4. Moran's I: Measuring Spatial Patterns
  5. Geary's C: Cluster Analysis
  6. Measuring Spatial Distributions
  7. Point Pattern Analysis: Overview
  8. Understanding Kernel Density
  9. Introduction to Hotspot Analysis
  10. Hotspot Analysis
  11. Clustering Methods in Spatial Statistics
  12. Using Anselin Local Moran's I
  13. Introduction to Interpolation Techniques
  14. Using Inverse Distance Weighting (IDW)
  15. Kriging and Its Applications
  16. Spline Interpolation in GIS
  17. Comparative Analysis of Interpolation Methods
  1. Introduction to Batch Processing in ArcGIS 
  2. Setting Up Batch Processing Workflows
  3. Running Batch Geoprocessing Tasks
  4. Automating Workflows with ModelBuilder
  5. ModelBuilder Basics and Interface
  6. Creating Simple Models in ModelBuilder
  7. Adding Parameters to Models
  8. Advanced Model Customization
  9. Troubleshooting Model Errors
  10. Introduction to Scripting in ArcGIS
  11. Using Python for Automation
  12. Creating Python Scripts for GIS Tasks
  13. Integrating Python Scripts in ModelBuilder
  14. Saving and Sharing Models
  1. Introduction to 3D Visualization
  2. 3D Data Types in ArcGIS
  3. Creating 3D Scenes and Layers
  4. Converting 2D to 3D Data
  5. Visualizing Terrain and Elevation Data
  6. Using Hillshade and Slope Tools
  7. Working with 3D Buildings and Structures
  8. 3D Symbology Customization
  9. Basics of Animating Spatial Data
  10. Time Series Data in ArcGIS
  11. Setting Up Data for Animation
  12. Exporting Animations from ArcGIS
  13. 3D Printing from GIS Data
  1. Introduction to the Capstone Project
  2. Project Planning and Objective Definition
  3. Gathering and Organizing Project Data
  4. Data Preprocessing and Quality Assurance
  5. Spatial Analysis for Project Objectives
  6. Using Advanced Analysis Tools
  7. Data Interpretation and Decision Making
  8. Creating Maps and Visualizations for Presentation
  9. Project Documentation Best Practices
  10. Creating a Final Map Layout
  11. Generating Project Reports
  12. Conducting Peer Reviews and Feedback
  13. Revising Project Based on Feedback
  14. Final Presentation Preparation
  15. Storytelling with Maps
  16. Project Summary and Lessons Learned
  17. Integrating Multiple Data Types
  18. Publishing Project Data Online
  19. Sharing and Presenting Results
  20. Project Review and Next Steps

Course Details:

Course Duration

3 Months

Lessons

150

Places for Students

15

Language:

English, Hindi

Certifications

Digital, Physical

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