5 day Workshop-cum-hands-on-training on Python for Geospatial Sciences: From Basics to Automation!
This 5-day hands-on workshop is designed to introduce participants to Python programming for geospatial applications. It progressively builds skills in spatial data processing, visualization, and automation using Python libraries like GeoPandas, Rasterio, Folium, and NumPy.
The course is tailored for GIS professionals, researchers, and students who are comfortable with basic GIS concepts but new to Python. By the end of the program, participants will be able to handle both vector and raster geospatial data, perform spatial analysis, and automate workflows using real-world datasets.
Course Details:
Dates: May 23, 24, 30, 31 & June 7, 2025 (Fridays & Saturdays)
Time: 7:00 PM – 9:00 PM IST
Mode: Online (Live & Hands-on)
Skill Level: Beginners with basic GIS knowledge, no prior Python experience
Duration: 5 Days | 2 Hours per Day | Total 10 Hours
Language of Instruction: English
Certificate: E-Certificate of Participation
Workshop Highlights
5 Days of Live Hands-On Sessions – Learn by doing with structured 2-hour weekend classes (Friday & Saturday evenings).
No Prior Python Knowledge Needed – Designed for beginners with basic GIS understanding.
End-to-End Learning Path – From Python fundamentals to real-world geospatial automation.
Practical Tools & Libraries – Master GeoPandas, Rasterio, NumPy, and Folium for spatial data analysis and visualization.
Mini Project on Final Day – Apply your learning in a guided mini-project using real spatial data.
Interactive Mapping – Build and export web-based interactive maps with Folium.
Expert Instruction – Learn from Dr. Subhajit Sarkar, a domain expert in geospatial data science.
Session Recordings Access – Get exclusive access to recordings via your registered Gmail account.
Certificate of Participation – Issued by Indaca Institute of Skills upon completion.
What You’ll Learn:
Python +Spatial Data Fundamentals
Installing Anaconda and setting up Jupyter Notebooks
Python fundamentals:
Variables, data types (strings, numbers, lists)
Writing basic loops and functions
Introduction to spatial data types: Vector vs Raster
Loading and visualizing a shapefile using GeoPandas
Vector Data Analysis with GeoPandas
Coordinate Reference Systems (CRS): Basics and reprojection
Attribute filtering and selection
Spatial operations:
Buffering
Spatial join
One geometry method (e.g., intersects() or centroid())
Raster Data + NDVI Computation
What is raster data? (bands, resolution, extent)
Loading GeoTIFF using Rasterio
Raster to NumPy array conversion
NDVI calculation using Red and NIR bands
Raster clipping using shapefile masks
Interactive Mapping with Folium and Workflow Automation + Mini Project Showcase
Introduction to Folium and Leaflet-based maps
Creating base maps
Adding markers and polygons from GeoDataFrames
Building choropleth maps based on attribute data
Exporting maps as standalone HTML
Automating tasks using loops and functions
Batch processing examples:
NDVI computation for multiple rasters
Buffer multiple shapefiles
Mini project: Apply everything learned
Project options (participants choose one):
Land cover change NDVI analysis
Spatial accessibility mapping
Thematic mapping from census data
Tools and Technologies
Python Environment
Anaconda – Python distribution with package and environment management
Jupyter Notebook – Interactive coding and visualization platform
Vector Data Handling
GeoPandas – For reading, analyzing, and visualizing shapefiles and GeoJSON data
Shapely – For geometric operations like buffer, centroid, and intersects
Raster Data Analysis
Rasterio – For reading, writing, and clipping GeoTIFF raster files
NumPy – For raster band math (e.g., NDVI computation)
Interactive Mapping
Folium – For creating web-based interactive maps and choropleths
Supporting Tools
QGIS (optional reference) – For spatial data preparation (optional, not used in core hands-on)
Basic CSV/Excel Data – For attribute enrichment and visualization
Who Should Attend?
Students in Geography, Environmental Science, Urban Planning, Agriculture, and related fields
GIS Analysts and Technicians seeking to enhance their workflow with Python automation
Researchers and Academics working on spatial data analysis and visualization
Beginners in Python Programming with an interest in spatial applications
Educators and Trainers aiming to integrate Python-based GIS in their curriculum
Professionals in Remote Sensing, Planning, and Development sectors
No prior experience in Python is required. Basic familiarity with GIS concepts is recommended.
Why Choose This Course?
Live + Recorded Access
Expert Instructor: Dr. Subhajit Sarkar brings deep expertise from academia
Industry-Relevant Tools: Work on real-world datasets
Get Certified
No Prior Coding Required – All tools are cloud-based and user-friendly
Don't Miss Out!
If you're passionate about geospatial technology and eager to master Python for mapping and automation, this workshop is designed just for you!
Registration Closes: May 22, 2025
4 day workshop on Health GIS with Open Source Tools!
The growing demand for spatial solutions in healthcare research, disease tracking, and epidemiological modeling makes Health GIS a powerful tool for public health professionals, researchers, epidemiologists, and policy makers. This workshop introduces participants to the principles, tools, and applications of Health GIS using Open Source Software, focusing on real-world case studies and hands-on practice.
Whether you're a public health researcher mapping disease spread or a student building your thesis with spatial health data, this training is designed to equip you with the necessary skills, workflows, and datasets to build powerful GIS-based health research projects.
Course Details:
Dates: May 3–4 & May 10–11, 2025 (Weekends)
Duration: 4 Days | 2 Hours per Day | Total 8 Hours
Timings: 7:00 PM – 9:00 PM IST
Mode: Live Online via Zoom
Language of Instruction: English
Certificate: E-Certificate of Participation
Instructor: Dr. Gouri Sankar Bhunia, Remote Sensing and GIS Specialists | Author | 16+ years of industrial and academic experience
Workshop Highlights
Live Hands-On Training – 100% practical, instructor-led sessions
Real-Time Health Data Analysis using open datasets
Learn to Map Disease Spread, Health Facilities & Risk Zones
Case-Based Learning from public health and epidemiology research
Project-Oriented Approach – organize your own GIS project folder
Certificate of Completion + access to recorded sessions
Expert Guidance by an academic & applied research professional
What You’ll Learn:
Introduction to Health GIS & Spatial Data Preparation
Basics of Health GIS: Concepts, Importance, and Research Scope
Installing & Setting Up QGIS for Health Research
Sources of Open Health Datasets (WHO, DHS, OpenStreetMap, etc.)
Importing, Cleaning & Visualizing Spatial Data
Mapping Health Facilities, Cases, and Administrative Boundaries
Thematic Mapping, Accessibility & Proximity Analysis
Creating Thematic (Choropleth) Maps of Health Indicators
Buffer Zones for Health Access (e.g., Clinics within 5km)
Network vs Euclidean Distance in Health Accessibility
Overlaying Population Density with Disease Layers
Basic Raster Integration: Land Use, Air Pollution & Risk Zones
Spatial Statistics & Disease Cluster Analysis
Hotspot Mapping using Kernel Density Estimation (KDE)
Introduction to GeoDa for Spatial Epidemiology
Performing Moran’s I and LISA Cluster Analysis
Understanding Spatial Autocorrelation in Disease Patterns
Interpreting Health Clusters with Geo-visual Outputs
Health Risk Modeling & Web Mapping
Multi-Criteria Health Risk Zoning using Raster Overlay
Weighted Layer Analysis: Socioeconomic, Environmental & Health Indicators
Creating Interactive Web Maps using qgis2web
Final Project Demonstration + Q&A
Tools and Technologies
QGIS – Open-source GIS platform for mapping and analysis
GeoDa – Tool for spatial autocorrelation and cluster detection
qgis2web – Plugin for creating interactive web maps
Open Datasets – WHO, HealthMap, Census, OpenStreetMap
Data formats: Shapefiles, GeoTIFF, CSV, GeoJSON etc.
Who Should Attend?
Researchers in Public Health, Epidemiology, Geography, and Urban Studies
Faculty, PhD Scholars, and Postgraduates working with spatial data
Professionals from NGOs, Government Health Programs, and the Development Sector
GIS Analysts and Planners interested in health, disaster, and infrastructure mapping
Anyone passionate about solving health challenges using location intelligence
Why Choose This Course?
Live + Recorded Access
Expert Instructor: Dr. Gouri S Bhunia brings deep expertise from academia and industry.
Industry-Relevant Tools: Work on real-world datasets
Get Certified
Emphasis on open-source tools – no expensive software needed
Don't Miss Out! If you’re passionate about geospatial technology and want to master the art of spatial health research and unlock new possibilities in Health GIS - this workshop is for you!
Registration Closes: May 2, 2025
Join 5-Day Workshop on Spatial Data Analysis & Modeling Using R!
This comprehensive hands-on workshop is designed for GIS professionals, data scientists, and researchers eager to master spatial data analysis using R and RStudio. Learn to manipulate, visualize, and model spatial data using industry-standard open-source tools while working on real-world datasets in an interactive, practical setting.
What You'll Gain:
Master Spatial Data Handling – Import, manipulate, and analyze spatial datasets (Shapefiles, GeoTIFFs).
Explore Spatial Patterns – Conduct Exploratory Spatial Data Analysis (ESDA) and understand spatial relationships using Moran’s I and Geary’s C.
Apply Geostatistical Techniques – Implement spatial interpolation methods like Inverse Distance Weighting (IDW) and Kriging for spatial predictions.
Perform Spatial Regression – Build and interpret spatial regression models (SLM, SEM) for advanced spatial analysis.
Hands-On Practice – Gain practical experience with RStudio and essential R packages (sf, ggplot2, spdep, gstat, spatialreg).
📊 Course Highlights:
Introduction to R for Spatial Analysis: Setting up R and RStudio for geospatial tasks | Importing and handling spatial data| Understanding R’s spatial libraries
Spatial Data Manipulation & Visualization: Data manipulation with dplyr and sf packages | Visualizing spatial data using ggplot2 and tmap | Creating thematic maps and custom visual outputs
Exploratory Spatial Data Analysis (ESDA): Identifying spatial patterns and relationships | Spatial autocorrelation: Moran’s I and Geary’s C | Interpreting spatial distribution insights
Geostatistical Techniques & Spatial Prediction: Introduction to interpolation: IDW and Kriging | Building and evaluating spatial prediction models | Hands-on implementation of spatial interpolation
Spatial Regression & Advanced Modeling: Understanding spatial lag and spatial error models (SLM, SEM) | Model diagnostics and interpretation of spatial outputs | Applying spatial regression to real-world datasets
Mark your calendars for March 23-24 and March 29-31, 2025 as the program kicks off with weekend sessions held on Saturdays and Sundays, totaling 4-6 hours of live classes and projects. Join us online via Zoom Meet from 19:00 HRS to 21:00 HRS (IST) and unlock your potential in the world of bibliometric study.
🎓 Who can join?
GIS Professionals: Enhance your geospatial modeling expertise with advanced techniques.
Data Scientists: Apply spatial analysis to complex datasets and derive actionable insights.
Researchers & Academicians: Analyze geographic patterns for real-world applications in urban and environmental studies.
Urban & Environmental Planners: Integrate spatial analytics into planning and policy decisions.
Students & Aspiring Analysts: Build a strong foundation in spatial statistics and modeling
Benefits of Choosing INDACA:
Certificate of Completion: Receive a recognized certificate from Indaca Institute of Skills, validating your spatial data expertise.
Session Recordings Access: Get access to recorded sessions to revisit and reinforce your learning anytime.
3-Month Post-Workshop Support: Enjoy continued guidance and assistance as you apply your new skills.
Affordable Registration Fees: Join the workshop for just INR 1499/- or USD 20/-—making advanced learning accessible.
Enrollment is now open, with registration closing on 22March 2025. Get ready to transform raw data into actionable insights! Join us to simplify bibliometric analysis and elevate your research. For inquiries and enrollment, call or WhatsApp us at +91 7439308037.