uLektz Skills

Learning Path

Non-Linear: Random Order

About the Course

Course Objectives

By the end of this course, learners will:

1. Understand the fundamental concepts of Geographic Information Systems (GIS) and

spatial analysis.

2. Learn how to collect, manage, and visualize spatial data.

3. Gain hands-on experience with GIS software such as QGIS and ArcGIS.

4. Perform geospatial analysis using coordinate systems, projections, and geodatabases.

5. Work with satellite imagery and remote sensing data.

6. Use Python and R for GIS and spatial analysis.

7. Explore spatial statistics and predictive modeling techniques.

8. Apply GIS techniques in fields like urban planning, environmental management, and

disaster response.

9. Learn about web-based GIS applications and geospatial data visualization.

10. Work on real-world GIS projects and obtain certification.

Course Outcomes

Upon successful completion of this course, participants will be able to:

? Understand GIS concepts, spatial data structures, and coordinate reference systems.

? Work with GIS software tools for spatial data management and visualization.

? Perform geospatial data analysis, overlay, and mapping techniques.

? Conduct spatial querying and perform geocoding operations.

? Use Python and R for spatial data processing and automation.

? Analyze remote sensing data and satellite imagery.

? Apply GIS in practical use cases such as land use planning, environmental monitoring, and

logistics.

? Develop interactive maps and web GIS applications.

? Interpret and present spatial data using dashboards and storytelling tools.

? Obtain certification and enhance career opportunities in GIS and geospatial analytics.

Course Study Materials

Introduction to GIS & Spatial Analysis

What is GIS? Overview and Applications
History and Evolution of GIS Technology
Understanding Spatial Data: Vector vs. Raster
Components of GIS: Data, Software, Hardware, People, and Methods
GIS in Different Industries (Urban Planning, Agriculture, Disaster Management, etc.)
Ref: Geographic Information Systems Duration:
Unit1 Test 10 Questions

GIS Data Structures & Coordinate Systems

Vector Data (Points, Lines, Polygons) and Raster Data (Grids, Pixels)
Coordinate Reference Systems (CRS) and Map Projections
Working with Geodatabases and Spatial Data Formats (Shapefiles, GeoJSON, KML)
Data Sources: OpenStreetMap, USGS, Landsat, and Government Portals
Hands-On: Exploring GIS Datasets in QGIS and ArcGIS
Ref:Essential components of GIS Duration:
Unit2 Test 10 Questions

Spatial Data Acquisition & Management

GPS and Field Data Collection Techniques
Working with Geospatial Data Portals
Data Cleaning, Geocoding, and Attribute Table Management
Data Import, Export, and Conversion Techniques
Hands-On: Creating and Managing a Spatial Database
Concept of topology Duration:
Unit3 Test 10 Questions

Spatial Analysis & Geoprocessing Tools

Overlay Analysis (Buffer, Intersect, Union, Clip)
Proximity Analysis and Distance Calculations
Spatial Querying and Attribute Filtering
Geostatistical Analysis and Interpolation Techniques
Hands-On: Performing Spatial Analysis in QGIS and ArcGIS
Ref:GIS software Duration:
Unit4 Test 10 Questions

Remote Sensing & Satellite Imagery

Basics of Remote Sensing and Image Processing
Types of Satellite Data (Landsat, Sentinel, MODIS)
Supervised vs. Unsupervised Classification
Land Use and Land Cover Analysis
Hands-On: Processing Satellite Images for Environmental Applications
Ref:Raster Data Compression Techniques Duration:
Unit5 Test 10 Questions

GIS with Python & R

Introduction to Python for GIS (Using GeoPandas, GDAL, Rasterio)
Automating GIS Workflows with Python
Introduction to R for Spatial Data Analysis (sf, sp, and raster packages)
Hands-On: Creating Maps and Automating GIS Tasks with Python and R
Ref: Pre-processing of spatial datasets Duration:
Unit6 Test 10 Questions

Web GIS & Interactive Mapping

Introduction to Web GIS and Web Mapping Technologies
Building Interactive Maps with Leaflet.js and Mapbox
Using Google Earth Engine for Spatial Analysis
Developing Web-Based GIS Applications
Hands-On: Publishing Maps Online with ArcGIS Online and QGIS Cloud
Ref:Spatial Interpolation Techniques Duration:
Unit7 Test 10 Questions

Spatial Statistics & Predictive Modeling

Introduction to Spatial Statistics
Spatial Autocorrelation and Clustering (Moran’s I, Getis-Ord Gi*)
Predictive Modeling with GIS (Land Use Change, Disaster Risk Analysis)
Machine Learning Applications in GIS
Hands-On: Predicting Spatial Patterns with Machine Learning
Ref:Spatial database systems Duration:
Unit8 Test 10 Questions

GIS Applications in Various Industries

GIS in Urban Planning and Infrastructure Development
Environmental Monitoring and Climate Change Analysis
GIS in Health and Epidemiology (Disease Mapping)
Transportation and Logistics Optimization with GIS
Case Studies: GIS in Disaster Response and Smart Cities
Ref:Various techniques to generate digital elevation Duration:
Unit9 Test 10 Questions

Capstone Project & Certification

End-to-End GIS Project: Data Collection to Visualization
Resume and LinkedIn Optimization for GIS Careers
Preparing for GIS Certifications (Esri ArcGIS, GISP)
Real-World GIS Case Studies and Applications
Final Project Submission and Certification
Ref:Applications of DEMs in solar and wind Duration:
Unit 10 Test 10 Questions

Final Assesssment

Final Assesssment 40 Questions

The certificate issued for the Course will have

Student's Name
Photograph
Course Title
Certificate Number
Date of Course Completion
Name(s) and Logo(s) of the Certifying Bodies

Only the e-certificate will be made available. No Hard copies. The certificates issued by uLektz academy. can be e-verifiable at www.ulektzskills.com/verify.

Students will be assessed both at the end of each module and at the end of the Course.
Students scoring a minimum of 50% in the assessments are considered for Certifications