Upcoming Workshops and Trainings

Beginner’s Guide to Modern Research Skills: A 5-Day Hands-On Workshop with SPSS, VOSviewer & AI Tools

Are you a student or early-career researcher unsure how to start your research journey?

This 5-day hands-on workshop is designed to give you a clear, confident start — from choosing the right research topic to analyzing real data and creating publication-ready content.

You'll learn how to identify research gaps using VOSviewer, perform statistical analysis in SPSS, and use AI-powered tools to enhance your writing and productivity.

By the end, you’ll walk away with a draft abstract, a visually mapped research idea, a working dataset, and the skills needed to move forward with your thesis, dissertation, or publication.

Perfect for anyone ready to turn ideas into real research outputs — step by step.

Course Details:

• Dates: Aug 16-17 & Aug 23-24, 30, 2025 (Weekends)

• Time: 4:30 PM – 6:30 PM IST

• Duration: 10 hours (2 hours/day × 5 days)

• Mode: Live Online (via Zoom)

• Certificate: E-Certificate of Participation

• Instructor: Dr. Anu Rai, Adamas University, is a leading researcher and published author with monographs, edited volumes, and 25+ SCIE/Scopus/UGC-indexed publications to her name. She brings cutting-edge expertise in health geography, medical tourism, urban planning, and geospatial analytics—bridging academic excellence with real-world impact.

What You'll Learn:

• How to identify relevant research gaps using VOSviewer (Bibliometric Analysis)?

• How to frame research questions based on trends and academic needs?

• How to analyze real data using SPSS – including t-tests, ANOVA, and regression?

• How to use AI tools for literature review and academic writing?

• How to visualize research data and trends for papers, posters, and presentations?

• How to write a research abstract and prepare a poster/paper structure?

Course Highlights:

• Discovering a Research Topic Using Bibliometric Tools

• Tool Used: VOSviewer

Learn to structure your literature review, identify keyword clusters, and detect research gaps using bibliometric mapping. Hands-on practice includes importing data from Scopus/Dimensions, generating co-occurrence maps, and interpreting visual clusters.

• Outcome: Finalized topic with a visual literature map.

• Research Design & Dataset Preparation

• Tool Used: SPSS

Understand core research design principles including variables, sampling, and scales. Practice structuring questionnaires, coding variables, and preparing clean datasets ready for analysis.

• Outcome: SPSS-ready dataset.

• Performing Statistical Analysis Using SPSS

• Tool Used: SPSS

Get hands-on with descriptive and inferential statistics including t-tests, ANOVA, correlation, and regression. Learn to interpret p-values, coefficients, and R², and export results for reports.

• Outcome: Tested hypothesis with an analysis report.

• Writing & Visualizing Research Using AI Tools

• Tools Used: Free & partially free AI writing tools

Explore ethical and effective use of AI in research writing. Draft abstracts, paraphrase content, and visualize data using charts and graphical abstracts.

Outcome: Draft abstract + visual charts for poster.

• Research Communication & Proposal Development

• Tools Used: MS Office, PowerPoint, Canva

Learn to structure abstracts (IMRAD), build proposals, and plan journal/conference submissions. Use templates and design tools to finalize your research outputs.

• Outcome: Final abstract, research poster, and publishing plan.

Tools and Technologies

• VosViewer

• Dimension Database

• Ms. Office and Excel

• SPSS

• AI Assistant Tools for Writing, Drafting and Designing

Who Should Attend?

• Undergraduate & Postgraduate Students

• MPhil / PhD Scholars

• Dissertation/Project Students

• Early Career Researchers

• Faculty Members guiding research

• Professionals starting academic writing

No prior experience needed. Beginners are welcome!

Why Choose This Course?

• Recognized Certification: Validate your expertise in with a certification.

• Session Recordings Access: Revisit workshop sessions for 1 year post-training.

• Post-Workshop Support: Receive 3 months of dedicated support for your queries and project assistance.

• Affordable Registration Fee: INR 1249/- (or USD 20/-) ensures accessible education for all.

• 🎁 Bonus Opportunity

  Selected participants will be supported in publishing with Scopus-indexed journals, conferences, or as a Book Chapter.

For Inquiries (Call/WhatsApp): ‪+91 9038413517

Email: contact@indaca.in

Registration Closes: Aug 15, 2025

Limited Seats Available!

Don’t miss this opportunity to upskill in modern research methods with expert-led, hands-on training!

Sign Up Now

4 day Workshop on Google Earth Engine for Land Degradation Studies: Multi-Temporal Analysis of LULC, NDVI, LST, and Soil Indicators

Land degradation poses serious environmental, social, and economic challenges worldwide. This specialized 4-day live online workshop is designed to help participants gain practical skills in leveraging Google Earth Engine (GEE) for analyzing multi-temporal satellite datasets to monitor land degradation. Through hands-on sessions, you will learn to assess key indicators such as LULC (Land Use Land Cover) changes, NDVI (Vegetation Loss), LST (Land Surface Temperature), and Soil Degradation indices using remote sensing datasets and geospatial analysis techniques.

Whether you are a researcher, environmental consultant, GIS analyst, academician, or a student, this workshop will provide you with actionable insights and technical know-how for environmental monitoring, reporting, and scientific research.

Course Details:

• Dates: Aug 2-3 & 9-10, 2025 (Weekends)

• Time: 7:00 PM – 9:00 PM IST

• Duration: 8 hours (2 hours/day × 4 days)

• Mode: Live Online (via Zoom)

• Certificate: E-Certificate of Participation

• Instructor: Dr. Subhajit Sarkar, Dept. of Geography, NEHU Shillong - Passionate instructor with expertise in GEE, Python and R for geospatial science.

Workshop Highlights

• Live hands-on sessions on Google Earth Engine (GEE)

• Structured, hands-on training on monitoring land degradation through Google Earth Engine (GEE)

• Step-by-step guidance on analyzing multi-temporal satellite datasets for land cover, vegetation health, temperature trends, and soil indicators

• Practical exercises to build capacity in remote sensing, geospatial analysis, and environmental monitoring

• Real-world applications aligned with research, project reporting, and environmental management needs

• Led by experienced domain experts with significant academic and applied research credentials

What You’ll Learn:

Introduction to GEE & Data Handling

• Overview of the GEE platform and its interface

• Importing, filtering, and visualizing satellite data (Landsat, Sentinel)

• Spectral indices: NDVI, NDBI, NDWI

• Hands-on: Image loading, visualization, and pre-processing in GEE

LULC Classification Techniques

• Supervised vs. unsupervised classification approaches

• Creating training datasets and feature selection

• Implementing Random Forest and Support Vector Machines (SVM) in GEE

• Hands-on: Perform classification and generate LULC maps

Vegetation Health Monitoring with NDVI

• Vegetation Health Monitoring with NDVI

• Time-series analysis of NDVI to identify long-term vegetation trends

• Mapping zones of vegetation loss using Landsat and MODIS archives

Land Surface Temperature (LST) Trends

• Extracting and visualizing MODIS LST datasets

• Correlating temperature changes with vegetation loss and soil degradation

Soil Degradation Assessment

• Applying indices like Bare Soil Index (BSI) and Albedo for soil exposure detection

• Integrating LST and soil indicators for a comprehensive degradation analysis

  Tools and Technologies

• Google Earth Engine (GEE) – For cloud-based satellite data processing and analysis

• Remote Sensing Datasets – Landsat, MODIS for multi-temporal analysis

• Spectral Indices – NDVI, BSI, Albedo for land degradation indicators

• Data Visualization Tools – GEE charting, mapping, and exporting features

Who Should Attend?

• Remote Sensing and GIS Professionals

• Environmental Researchers and Scientists

• Data Scientists Exploring Geospatial ML

• Policy Makers, NGOs & Research Analysts

• Geospatial Professionals (GIS, Remote Sensing Analysts)

• Academicians and PhD Scholars

• Climate and Land Management Consultants

• Postgraduate Students in Geography, Environmental Science, Agriculture, Planning, Earth Sciences

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 want to master land degradation mapping with Google Earth Engine - this workshop is for you!

Registration Closes: July 31, 2025

Sign Up Now

4 day Workshop on Soil Erosion Modelling and Mapping Using Open-Source Tools | USLE & RUSLE Models

Soil erosion is one of the most pressing environmental issues affecting agriculture, water quality, and land sustainability. Understanding and modeling soil loss using geospatial technologies is essential for environmental researchers, planners, and policy-makers. This 4-day live online hands-on workshop offers participants the opportunity to learn and apply the USLE and RUSLE models using open-source GIS tools (QGIS, SAGA GIS, SNAP).

Join us for an immersive, hands-on online training hosted by the Indaca Institute of Skills, designed to equip you with the technical skills and geospatial tools needed for soil erosion mapping and modelling.

📅 Dates: July 12–13 & 19–20, 2025 (Saturday & Sunday)
🕖 Time: 7:00 PM – 9:00 PM IST (Each Day)
🌐 Mode: Live Online via Zoom
🎓 Resource Person: Dr. Gouri Sankar Bhunia
🔗 Sign Up Now

🚀 What You'll Gain:

• Understand the principles of soil erosion and the USLE/RUSLE modeling framework

• Compute individual factors: R (Rainfall), K (Soil), LS (Topography), C (Land Cover), and P (Support Practices)

• Work with open-source data such as DEMs, rainfall records, and soil maps

• Perform NDVI analysis and land use classification using remote sensing techniques in SNAP/QGIS

• Calculate and map soil loss using raster analysis in QGIS

• Perform zonal statistics and interpret erosion risk maps

• Generate publication-ready maps and results using only open tools

🌟 Course Highlights:

• Fundamentals & Data Preparation: Introduction to Soil Erosion: Processes, impacts, and modeling needs | USLE & RUSLE structure and applications | Data requirements & sources: SRTM DEM, SoilGrids, CHIRPS (CSV), Sentinel-2, Bhuvan LULC | DEM preprocessing, reprojection, and raster alignment in QGIS

• R & K Factor Computation: Estimation of Rainfall Erosivity (R) using CSV datasets | Soil Erodibility (K) calculation | from texture, organic matter, and structure classes | Rasterization and standardization of input layers

• LS & C Factor Computation: LS-Factor generation from DEM using SAGA GIS (slope, flow accumulation) | NDVI generation using Sentinel-2 via SNAP and SCP Plugin | Derivation of C-Factor using NDVI or classified LULC map

• P Factor & Final Soil Loss Calculation: P-Factor estimation based on slope or land use practices | Soil Loss calculation using raster calculator: A = R × K × LS × C × P | Classification of erosion risk zones | Zonal statistics and map exports | Final discussion and use cases in watershed management

• Web & Print Map Creation: Design professional printable maps and build interactive maps.

🌟 Program Benefits:

• Certificate of Participation from the prestigious Indaca Institute of Skills.

• Networking opportunities with industry experts and peers.

• Access to workshop materials and resources for continued learning.

• Enhanced skills and knowledge to boost your career in remote sensing and soil erosion.

🌟 Who Should Enroll:

• Students & Researchers in geography, geology, civil engineering, disaster management

• GIS Analysts & Urban Planners working on soil erosion, and terrain-based studies

• Professionals in government, environmental consultancies, and NGOs

• Academics & Educators interested in integrating practical soil erosion modelling tools into curricula

💰 Benefits of Choosing INDACA:

• Certificate of Completion: Receive a recognized certificate upon completing the workshop, validating your proficiency in soil erosion modelling.

• Session Recordings Access: Enjoy 1 year access to recorded sessions, allowing you to revisit key concepts and reinforce your learning at your own pace.

• 3-Month Post-Workshop Support: Receive dedicated support for three months post-workshop, ensuring continuous learning and guidance as you apply your skills.

• Affordable Registration Fees: INDACA believes in accessible education. Register for the workshop at a nominal fee of INR 1449/- or USD 20/-

📞 For Inquiries (Call): +91 7439308037

(WhatsApp): +91 9038413517

Don't miss this opportunity to revolutionize your agricultural research! Register Now!

4 day Workshop on Flood Modeling & Mapping Using Open-Source Tools

DEM | Drainage Morphometry | Hazard Analysis

Join us for an immersive, hands-on online training hosted by the Indaca Institute of Skills, designed to equip you with the technical skills and geospatial tools needed for flood risk analysis and mapping.

📅 Date: Jun 28-29 and Jul 5-6, 2025
🕖 Time: 7:00 PM - 9:00 PM (IST)
🌐 Location: Online (Zoom)
🔗 Sign Up Now

🚀 What You'll Gain:

• Digital Elevation Model (DEM) processing and terrain analysis

• Drainage morphometry and watershed prioritization

• Remote sensing-based flood susceptibility mapping

• Risk zone identification and exposure analysis

• Web-based flood map creation using QGIS plugins

🌟 Course Highlights:

• DEM & Terrain Analysis: Understand and process Digital Elevation Models to derive slope, aspect, flow direction, and hillshade for hydrological modeling.

• Stream & Watershed Delineation: Use WhiteboxTools and QGIS to extract drainage networks, delineate basins, and identify critical catchments.

• Drainage Morphometry & Prioritization: Calculate morphometric parameters to rank sub-watersheds based on flood vulnerability and drainage efficiency.

• Flood Susceptibility Mapping: Integrate satellite imagery and terrain layers to model flood-prone zones using weighted overlay and MCDA techniques.

• Exposure & Impact Analysis: Overlay population, infrastructure, and land use data to assess flood impact zones and generate actionable statistics.

• Web & Print Map Creation: Design professional printable maps and build interactive flood hazard web maps using the qgis2web plugin.

🌟 Program Benefits:

• Certificate of Participation from the prestigious Indaca Institute of Skills.

• Networking opportunities with industry experts and peers.

• Access to workshop materials and resources for continued learning.

• Enhanced skills and knowledge to boost your career in remote sensing and flood modelling.

🌟 Who Should Enroll:

• Students & Researchers in geography, geology, civil engineering, disaster management

• GIS Analysts & Urban Planners working on hydrology, flood zones, and terrain-based studies

• Professionals in government, environmental consultancies, and NGOs

• Academics & Educators interested in integrating practical flood modeling tools into curricula

💰 Benefits of Choosing INDACA:

• Certificate of Completion: Receive a recognized certificate upon completing the workshop, validating your proficiency in flood analysis.

• Session Recordings Access: Enjoy 1 year access to recorded sessions, allowing you to revisit key concepts and reinforce your learning at your own pace.

• 3-Month Post-Workshop Support: Receive dedicated support for three months post-workshop, ensuring continuous learning and guidance as you apply your skills.

• Affordable Registration Fees: INDACA believes in accessible education. Register for the workshop at a nominal fee of INR 1449/- or USD 20/-

📞 For Inquiries (Call/WhatsApp): +91 9038413517

Limited seats! Don’t miss this opportunity to upskill in flood risk mapping.

4 day Workshop on Sentinel-1 (SAR) Data for Crop Type and Acreage Estimation!

Join us for an enriching 4-day workshop hosted by the renowned Indaca Institute of Skills, dedicated to unlocking the potential of Synthetic Aperture Radar (SAR) for agricultural applications.

📅 Date: Jun 14-15 and Jun 21-22, 2025
🕖 Time: 7:30 PM - 9:30 PM (IST)
🌐 Location: Online (Zoom)
🔗 Sign Up Now

🚀 What You'll Gain:

• In-depth understanding of SAR technology and its applications in agriculture.

• Practical skills in SAR data processing, including preprocessing and classification.

• Proficiency in utilizing tools like SNAP software for SAR image analysis.

• Knowledge of advanced techniques such as stacking, mosaicking, and subsetting SAR data.

• Ability to integrate SAR data with GIS software for comprehensive analysis.

• Insight into crop mapping using Machine Learning algorithms for enhanced precision.

🌟 Course Highlights:

• Overview of EO missions and RS data for agricultural studies.

• Various applications of Remote Sensing, with a focus on SAR, in agriculture.

• Hands-on workshops on SAR data processing and analysis.

• Crop mapping using ML algorithms for precise agricultural insights.

• Expert-led sessions on GIS integration and advanced SAR techniques.

🌟 Program Benefits:

• Certificate of Participation from the prestigious Indaca Institute of Skills.

• Networking opportunities with industry experts and peers.

• Access to workshop materials and resources for continued learning.

• Enhanced skills and knowledge to boost your career in remote sensing and agriculture.

🌟 Who Should Enroll:

• Agricultural researchers and scientists.

• Students and academics in geography, agronomy, and environmental science.

• Professionals in agriculture, forestry, and land management.

• Anyone interested in exploring SAR technology and agriculture.

💰 Benefits of Choosing INDACA:

• Certificate of Completion: Receive a recognized certificate upon completing the workshop, validating your proficiency in SAR analysis.

• Session Recordings Access: Enjoy 1 year access to recorded sessions, allowing you to revisit key concepts and reinforce your learning at your own pace.

• 3-Month Post-Workshop Support: Receive dedicated support for three months post-workshop, ensuring continuous learning and guidance as you apply your skills.

• Affordable Registration Fees: INDACA believes in accessible education. Register for the workshop at a nominal fee of INR 1449/- or USD 20/-

📞 For Inquiries (Call): +91 7439308037

(WhatsApp): +91 9038413517

Don't miss this opportunity to revolutionize your agricultural research! Register Now!

Join 4 week Workshop on Advanced Statistical Modelling with SPSS!

In this program, you'll delve deep into advanced statistical modeling techniques using SPSS, led by none other than Dr. Anu Rai, a well experienced practitioner of applied statistics, Assistant Professor of Geography, Adamas University. Gain mastery in multivariate analysis, regression, predictive modeling, and more as you learn to harness the power of data to make informed decisions.

What You'll Gain:

• Master multivariate analysis, regression, predictive modeling, and more.

• Learn to transform raw data into actionable insights for informed decision-making.

• Gain hands-on experience with real-world case studies and practical applications.

• Receive personalized guidance from seasoned statisticians and data analysis professionals.

📊 Course Highlights:

• Hypothesis Testing – Parametric vs Non-Parametric Tests

• ANOVA – One Way and Two-way ANOVA, ANCOVA

• Linear Regression (Simple & Multiple) and its diagnostics

• Logistic Regression-Binary & Ordinal and its diagnostics

• Factor Analysis (Exploratory and Confirmatory)

• Cluster Analysis

• Discriminant Analysis  

Mark your calendars for May 31, 2025, as the program kicks off with weekend sessions held on Saturdays and Sundays, totaling 16-18 hours of live classes and projects. Join us online via Zoom Meet from 16:00 HRS to 18:00 HRS (IST) and unlock your potential in the world of data analytics.

🎓 Who can join?

• Students: Enhance your academic journey by gaining practical statistical skills applicable in research and coursework.

• Professionals: Amplify your analytical capabilities, making informed decisions and contributing to data-driven strategies in your professional domain.

• Researchers: Equip yourself with the tools needed for robust data analysis, ensuring the validity and reliability of research findings.

• Anyone Seeking Statistical Proficiency: Whether you are a beginner or looking to refine your statistical skills, this workshop caters to all levels.

Benefits of Choosing INDACA:

• Certificate of Completion: Receive a recognized certificate upon completing the workshop, validating your proficiency in fundamental statistics.

• Session Recordings Access: Enjoy access to recorded sessions, allowing you to revisit key concepts and reinforce your learning at your own pace.

• 3-Month Post-Workshop Support: Receive dedicated support for three months post-workshop, ensuring continuous learning and guidance as you apply your skills.

• Affordable Registration Fees: INDACA believes in accessible education. Register for the workshop at a nominal fee of INR 2449/- or USD 45/-.

Enrollment is now open, with registration closing on 29 May, 2025. Secure your spot today and take the first step towards becoming a data analytics expert. For inquiries and enrollment, call or WhatsApp us at +91 7439308037.

2 day workshop Fundamental Statistics for Beginners with SPSS!

Take your first step into the world of applied statistics with this immersive, hands-on workshop. Designed for researchers, students, and professionals, this workshop focuses on building a strong foundation in statistical analysis using SPSS.

Workshop Highlights

🗓️ Dates: April 5 - 6, 2025 (Saturday to Sunday)

• Introduction to Fundamental Statistics

  • SPSS basics: Interface, navigation, and functionalities.

  • Data entry, cleaning, and variable coding.

  • Descriptive statistics: Measures of central tendency and dispersion.

  Data Exploration and Visualization

  • Handle missing data and outliers.

  • Create visualizations: Bar charts, histograms, scatter plots, and box plots.

  Hypothesis Testing with t-tests and ANOVA

  • Understand null and alternative hypotheses.

  • Perform t-tests (one-sample and independent) and ANOVA.

  Correlation and Categorical Data Analysis

  • Analyze variable relationships using Pearson and Spearman correlation.

  • Conduct chi-square tests for categorical data analysis.

  • Visualize findings with scatter plots and cross-tabulations.

🎓 Who can join?

• Students: Enhance your academic journey by gaining practical statistical skills applicable in research and coursework.

• Professionals: Amplify your analytical capabilities, making informed decisions and contributing to data-driven strategies in your professional domain.

• Researchers: Equip yourself with the tools needed for robust data analysis, ensuring the validity and reliability of research findings.

• Anyone Seeking Statistical Proficiency: Whether you are a beginner or looking to refine your statistical skills, this workshop caters to all levels.

🌐 Benefits of Choosing INDACA:

• Certificate of Completion: Receive a recognized certificate upon completing the workshop, validating your proficiency in fundamental statistics.

• Session Recordings Access: Enjoy access to recorded sessions, allowing you to revisit key concepts and reinforce your learning at your own pace.

• 3-Month Post-Workshop Support: Receive dedicated support for three months post-workshop, ensuring continuous learning and guidance as you apply your skills.

• Affordable Registration Fees: INDACA believes in accessible education. Register for the workshop at a nominal fee of INR 699/- or USD 12/-.

• Important Date: Register before April 4, 2025, to secure your spot.

Sign Up Now

Join 2 day Workshop on Bibliometric Analysis with Open-Source Tools!

This workshop is designed for researchers, academicians, and professionals looking to harness the potential of open-source tools like VoSviewer for bibliometric analysis. Learn how to explore research trends, evaluate academic impact, and visualize collaboration networks in an interactive and practical setting.

What You'll Gain:

• Understand the fundamentals of bibliometric analysis and its applications.

• Explore research trends, co-authorship networks, and thematic clusters.

• Gain hands-on experience with VoSviewer and other open-source tools.

• Learn to create stunning visualizations and actionable bibliometric reports.

📊 Course Highlights:

• Introduction to bibliometric concepts and indicators.

• Overview of open-source tools like VoSviewer.

• Hands-on: Data preparation and importing datasets.

• Visualizing basic networks (co-authorship, keyword co-occurrence)

• Advanced bibliometric mapping techniques.

• Customizing visualizations for meaningful insights.

• Exporting data and creating bibliometric reports.

• Hands-on: Analyzing case studies and trends over time.

Mark your calendars for March 8-9, 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 16:00 HRS to 18:00 HRS (IST) and unlock your potential in the world of bibliometric study.

🎓 Who can join?

• Researchers and academicians seeking to analyze publication trends.

• Students interested in advanced research methodologies.

• Librarians and policymakers focusing on academic evaluation and decision-making.

Benefits of Choosing INDACA:

• Certificate of Completion: Receive a recognized certificate upon completing the workshop, validating your proficiency in fundamental statistics.

• Session Recordings Access: Enjoy access to recorded sessions, allowing you to revisit key concepts and reinforce your learning at your own pace.

• 3-Month Post-Workshop Support: Receive dedicated support for three months post-workshop, ensuring continuous learning and guidance as you apply your skills.

• Affordable Registration Fees: INDACA believes in accessible education. Register for the workshop at a nominal fee of INR 749/- or USD 15/-.

Enrollment is now open, with registration closing on 7 March 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.

Join 5 Day Workshop on Urban Planning with Open Source GIS and Remote Sensing!

This hands-on workshop is designed to empower professionals and students with practical skills in GIS and Remote Sensing for urban planning. Using open-source tools like QGIS, participants will explore real-world applications such as urban sprawl mapping, land use/land cover analysis, transportation planning, and site suitability modeling for sustainable urban development.

Course Details:

• Dates: February 8-9 (Saturday – Sunday) and February 15-16 and 22 (Saturday - Sunday and Saturday), 2025

• Timings: 7:00 PM to 9:00 PM IST

• Mode: Online (Live, Interactive Sessions)

• Focus: Hands-on training with real-world urban datasets

• Certification: Certificate of Completion from the Indaca Institute of Skills

• Instructor: Dr. Gouri S Bhunia and Dr. Samudra Gupta – Passionate instructor from Industry with expertise in geospatial science.

What You’ll Learn

• Introduction to QGIS and Earth Observation (EO) for Urban Data Handling/; Learn the basics of QGIS and explore how Earth Observation data supports urban planning by providing actionable insights.

• Urban Data Visualizations: Master the art of creating visually compelling and informative urban maps using symbology, thematic layers, and customized layouts.

• Urban Land Use and Land Cover (LULC) Mapping: Explore techniques for classifying urban features like residential, commercial, and green areas using satellite imagery and QGIS tools.

• Techniques for Urban Sprawl Analysis Using Multi-temporal Data: Analyze urban growth trends over time using historical satellite data to understand expansion patterns and plan for sustainable development.

• Urban Thematic Mapping: Create thematic maps focused on specific urban topics like zoning, infrastructure, or transportation to convey critical planning insights.

• Creating Population and Infrastructure Density Maps: Use advanced tools like the Heatmap plugin to visualize population distribution and infrastructure density across urban landscapes.

• Basics of Network Analysis and Accessibility Modeling: Learn how to model transportation networks, optimize routes, and evaluate accessibility to essential services within urban areas.

• Cluster Analysis: Identify clusters of activity or issues, such as economic hubs or areas requiring interventions, to guide better decision-making.

• Hotspot Analysis (Crime, Disease, Urban Events): Perform spatial analysis to detect and map hotspots for issues like crime, disease outbreaks, or urban events.

• Overlay Analysis: Combine multiple spatial datasets to uncover relationships and dependencies, aiding in complex urban planning scenarios.

• Site Suitability Modeling: Conduct multi-criteria decision analysis (e.g., weighted overlays) to determine optimal locations for infrastructure like waste disposal sites or urban amenities.

Who Should Attend?

• Urban Planners, GIS Analysts, and Environmentalists

• Students, Researchers, and Academics in Urban Studies

• Professionals in Infrastructure Development and Policy Making

• Anyone keen on leveraging GIS for urban growth and sustainability

Why Choose This Course?

• Hands-On Focus: Practical exercises tailored to real-world challenges.

• Expert Trainers: Learn from professionals with industry and academic expertise.

• Interactive Learning: Engage in live sessions with Q&A and expert guidance.

• Recognized Certification: Boost your career with an accredited certificate.

• Networking Opportunities: Connect with like-minded professionals and experts.

• Interactive Sessions: Each session includes live coding, Q&A, and real-world applications.

• Expert Instructor: Dr. Gouri S Bhunia and Dr. Samudra Gupta – Passionate instructor from Industry with expertise in geospatial science will guide you through the course, ensuring a deep understanding of each concept.

• Recorded Sessions: Can’t make it to a live session? Don’t worry—recorded sessions will be available for review at your convenience.

Transform your skills in urban planning with GIS and Remote Sensing!
📢 Seats are limited, so don’t miss out!

Registration Closes: Feb 6, 2025

Sign Up Now

Join 4 Day Workshop on Land Use Land Cover (LULC) Mapping with Hyperspectral Satellite Imagery!

Learn advanced techniques in Land Use Land Cover (LULC) mapping with cutting-edge hyperspectral satellite imagery. This hands-on workshop will empower participants with the skills and tools required to preprocess, analyze, classify, and generate detailed LULC maps using open-source tools and Python-based frameworks.

Course Details:

• Date: Jan 4-5 and 11-12, 2025

• Time: 7:00 PM - 9:00 PM IST (Tentative) | Weekends Only

• Duration: 8-10 hours of interactive live instruction + hands-on project work

• Mode: Online, live classes via Zoom

• Instructor: Mr. Rahul Koley – Passionate instructor from Industry with expertise in python for geospatial science.

Workshop Highlights

• Hands-on training using Python and Google Colab for coding.

• Exploration of real-world hyperspectral datasets like AVIRIS and Hyperion.

• Building powerful classification models using Machine Learning (ML) and Deep Learning (DL) techniques.

• LULC map generation and accuracy assessment using Python and QGIS.

• Expert insights on real-world applications in agriculture, urban planning, and environmental monitoring.

What You’ll Learn

Introduction to Hyperspectral Imaging and LULC Mapping

• Basics of hyperspectral imaging and its applications in LULC mapping.

• Accessing and visualizing publicly available hyperspectral datasets.

• Overview of LULC classification schemes (e.g., USGS Level I-IV).

Preprocessing Hyperspectral Data

• Techniques for noise reduction, atmospheric correction, and dimensionality reduction.

• Spectral signature analysis for identifying unique LULC class features.

• Hands-on preprocessing using Python.

Building and Training Classification Models

• Deep dive into Machine Learning (SVM, Random Forest) and Deep Learning (CNN).

• Training CNN-based models for hyperspectral LULC classification using TensorFlow/Keras or PyTorch.

• Hands-on implementation of classification models.

LULC Map Generation, Evaluation, and Applications

• Generating LULC maps with QGIS and Python.

• Assessing classification accuracy (Confusion Matrix, Kappa Coefficient, Overall Accuracy).

• Applications of LULC mapping in real-world scenarios like agriculture and urban planning.

Tools and Technologies

• Python: TensorFlow/Keras, PyTorch, NumPy, Matplotlib, Scikit-learn, GDAL.

• QGIS: For map visualization and post-classification processing.

• Public datasets: AVIRIS, Hyperion for hands-on analysis.

Who Should Attend?

This workshop is designed for individuals eager to explore the intersection of hyperspectral imagery and geospatial analysis. It is ideal for:

• GIS and Remote Sensing Professionals:

• Gain advanced expertise in hyperspectral data preprocessing, analysis, and classification.

• Environmental Scientists and Planners:

• Utilize hyperspectral LULC mapping for applications in agriculture, urban planning, and environmental monitoring.

• Academicians and Researchers:

• Leverage cutting-edge techniques in LULC mapping for innovative research and publications.

• Data Science Enthusiasts:

• Explore how Machine Learning (ML) and Deep Learning (DL) can be applied to geospatial datasets.

• Students in Geography, Geoinformatics, or Earth Sciences:

• Build foundational skills for a career in geospatial analysis using open-source tools.

• Government and NGO Personnel:

• Develop actionable insights for policy-making and environmental management.

Why Choose This Course?

• Interactive Sessions: Each session includes live coding, Q&A, and real-world applications.

• Certificate: Receive an e-certificate upon completing the workshop.

• Practical Application: Apply the concepts through real-world datasets, ensuring you understand how to implement these statistical techniques in your work or research.

• Expert Instructor: Mr. Rahul Koley, an expert in from industry, will guide you through the course, ensuring a deep understanding of each concept.

• Recorded Sessions: Can’t make it to a live session? Don’t worry—recorded sessions will be available for review at your convenience.

Don't Miss Out! If you’re passionate about geospatial technology and want to master hyperspectral LULC mapping, this workshop is for you!

Registration Closes: Jan 2, 2025

Sign Up Now

5 weeks Professional Development Program in Machine Learning and AI for Data Science!

Duration: 13th July 2024 - 11th August 2024 | Saturday and Sunday | 7:00 PM - 9:00 PM

Overwhelmed by Resources? We've Got You Covered!

Are you a researcher, data scientist, or professional overwhelmed by the countless resources available to learn Python? Unsure where to start or how to keep pace with the latest developments? We understand the struggle of navigating through thousands of tutorials, articles, and courses. Save your precious time and get the structured, comprehensive learning you need with Indaca Institute’s expertly designed program.

What You'll Gain:

• Comprehensive Knowledge: Master Python programming, data preprocessing, feature engineering, and machine learning algorithms.

• Practical Experience: Apply your skills through hands-on exercises and real-world projects.

• Increased Efficiency: Save hours of data analysis time with streamlined techniques.

• Career Advancement: Gain in-demand skills to accelerate your career in data science.

• Problem-Solving: Learn to tackle complex data problems with advanced machine learning tools.

• Certification: Receive a certificate to showcase your expertise.

• Confidence: Build confidence in your data science abilities.

• Community Support: Join a supportive learning community with access to resources and expert guidance.

📊 Course Highlights:

• Week 1: Introduction to Machine Learning and AI: Define, scope, and apply in data science.

• Week 2: Data Preprocessing and Feature Engineering: Clean data, transform, scale, select features, and reduce dimensions.

• Week 3: Supervised Learning: Master regression and classification algorithms.

• Week 4: Unsupervised Learning: Explore clustering and dimensionality reduction techniques.

• Week 5: Advanced Topics and Final Project: Dive into neural networks, deep learning frameworks, and project guidance.

Mark your calendars from July 13th, 2024 to August 15th 2024, as the program kicks off with weekend sessions held on Saturdays and Sundays, totaling 20-22 hours of live classes and projects. Join us online via Zoom Meeting from 19:00 HRS to 21:00 HRS (IST) and unlock your potential in the world of data analytics.

🎓 Who can join?

• Researchers and Data Scientists: Streamline your data analysis and enhance your research capabilities with efficient Python programming and machine learning techniques.

• Professionals in Data-Driven Fields: Whether you work in finance, marketing, healthcare, or any other data-intensive industry, mastering Python for Data Science will significantly boost your productivity and problem-solving skills.

• Students and Aspiring Data Scientists: If you're looking to break into the field of data science, this course provides a solid foundation and practical experience.

• Professionals Looking to Pivot Careers: Transition smoothly into a data science role by gaining in-demand skills in Python and machine learning.

• Anyone Overwhelmed by Online Resources: If you're lost in a sea of tutorials and articles, our structured, comprehensive course will provide clear guidance and a direct path to proficiency.

Benefits of Choosing INDACA:

• No Prior Programming Knowledge Required: This course is designed for absolute beginners. We start from scratch and build your skills step-by-step.

• Interactive Sessions: Participate in live, interactive sessions where you can ask questions and get immediate feedback.

• Flexible Learning: Access course materials online and learn at your own pace. Our schedule is designed to fit into your busy life.

• Certification: Earn a certificate upon completion of the course, showcasing your new skills to employers.

• Community Support: Join a vibrant community of learners and professionals. Share your progress, ask questions, and collaborate on projects.

• Resources and Materials: Gain access to a wealth of resources including articles, tutorials, and datasets.

• Career Guidance: Receive personalized career advice and tips on how to leverage your new skills in the job market.

Special Discount on World Youth Skills Day 2024 - In honor of World Youth Skills Day 2024, we're offering a 50% discount! Unlock your potential and elevate your career with our comprehensive course, designed to make you a machine learning and AI expert.

Enrollment is now open, with registration closing on July 11, 2024. Secure your spot today and take the first step towards becoming a data analytics expert.

Don't miss this opportunity to gain in-demand skills at half the price! Enroll now and transform your future.

Sign Up Today!

For inquiries and enrollment, call or WhatsApp us at +91 7439308037.

1-month Professional Development Program on Remote Sensing of Environment with Open Source Software

📆 Program Schedule: Feb 10th, 2024 – March 11th, 2024 | 🗓️ Commencement: Feb 10th, 2024 | 🏁 Duration: 1 Month | Weekends | Saturday & Sunday - 20 – 22 hrs live classes + Projects | ⏰ Time: 19:00 HRS (IST) – 21:00 HRS (IST) | 📍 Location: Online (Google Meet)

Hands-on - QGIS | SAGA GIS | Whitebox Tools | Open-Source Plugins | Cloud Computing | Google Earth Engine

Week 1: Fundamentals of Remote Sensing for Environmental Monitoring | Feb 10-11, 2024 - 👩‍🏫 Instructor: Dr. Gouri Sankar Bhunia, Industry Expert in GIS and Remote Sensing - Introduction to Remote Sensing | Satellite Data Collection Sources and Techniques | Digital Image Processing | Data Conversion | Band Composition, Mosaicking, and Raster Calculation | Spectral Transformation and Land Use Land Cover Classification | Change Detection in LULC

Week 2: DEM and Its Application in Watershed Modeling | Feb 17-18, 2024 - 👩‍🏫 Instructor: Dr. Priyank P Patel, Faculty at Presidency University - Basics and Importance of DEM in Geospatial Analysis | Geoprocessing Tools for DEM-based Analysis | Terrain Analysis, Watershed Delineation, and 3D Visualization Watershed Modeling Enhancements and Rainfall-Runoff and Inundation Modeling

Week 3: Forest Resource Management, Agriculture & Crop Health | Feb 24-25, 2024 - 👩‍🏫 Instructor: Dr. Gouri Sankar Bhunia, Industry Expert in GIS and Remote Sensing - Remote Sensing Technologies for Forestry and Agriculture | Sensor Selection Criteria | QGIS Setup for Forestry and Agriculture | Basic Preprocessing Steps and Techniques for Mapping | Forest Change Detection and Crop Monitoring |Integration of Remote Sensing Data for Precision Agriculture

Week 4: LULC Change and Urbanization Modeling with Cloud Computing | March 2-3, 2024 - 👩‍🏫 Instructor: Dr. ir. Sk. Mustak, Faculty at Central University of Punjab Introduction to LULC Change and Urbanization Modeling | Google Earth Engine Setup and Dataset Visualization | Change Detection Algorithms and Uncertainty Analysis | Post-Processing of LULC in Cloud Computing | Integration of LULC Change Data for Urbanization Modeling | Urban Growth Patterns Analysis using Google Earth Engine

Week 5: Remote Sensing of Soil Erosion | March 9-10, 2024 - 👩‍🏫 Instructor: Dr. Kapil Ghosh, Diamond Harbour Women University - Introduction to the Universal Soil Loss Equation (USLE) model and its components | Introduction to USLE factors: Rainfall, Soil Erodibility, Slope Length, Slope Steepness, and Land Cover Management | Advanced remote sensing technologies (LiDAR, SAR, etc.) | Integration of multiple data sources for soil erosion assessment | Importing relevant datasets for USLE factors into QGIS | Applying the USLE model using QGIS tools | Analyzing and visualizing soil erosion risk using the USLE approach

🌐 Program Benefits with Indaca Institute of Skills

• Comprehensive curriculum for maximum learning in a short time.

• Lifetime access to session recordings for practice.

• Extensive hands-on practice with open-source remote sensing software for practical proficiency.

• 3-month post-workshop support and personal guidance.

• Professional development certificate upon program completion.

🎓 Enroll Today and Unleash the Power of Remote Sensing for Environmental Monitoring!