Upcoming Workshops and Trainings

4 day Workshop on Land Cover Dynamics: Classification, Change Detection, and Prediction Using Google Earth Engine (GEE)

Explore the power of Google Earth Engine (GEE) to analyze, classify, and predict land cover changes using satellite imagery and machine learning! This 4-day live workshop is designed for professionals, researchers, and students eager to enhance their geospatial skillset through practical, hands-on sessions.

Course Details:

• Dates: April 19–20 & 26–27, 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)

• Work with Landsat & Sentinel datasets

• Perform LULC classification using ML techniques (RF, SVM)

• Detect changes in land cover using post-classification comparison and indices

• Predict future land cover using time-series analysis

• Real-world applications in urban planning, agriculture, and environmental monitoring

• Access to recorded sessions for later review

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

Change Detection & Accuracy Assessment

• Change detection methods: post-classification comparison, spectral indices

• Accuracy evaluation: confusion matrix, Kappa coefficient

• Hands-on: Detecting and mapping land cover changes over time

Prediction & Time-Series Analysis

• Time-series analysis using Landsat/Sentinel archives

• Trend detection for LULC change

• Land cover prediction using ML techniques in GEE

• Hands-on: Predict and visualize future LULC patterns

Tools and Technologies

• Google Earth Engine (GEE): A cloud-based geospatial processing platform that allows analysis of large-scale satellite imagery without the need for local downloads or installations.

• Landsat Series – medium-resolution imagery ideal for historical change analysis

• Machine Learning Techniques in GEE

Who Should Attend?

• Remote Sensing and GIS Professionals

• Environmental Scientists & Urban Planners

• Academicians & Students of Geography/Geoinformatics

• Data Scientists Exploring Geospatial ML

• Policy Makers, NGOs & Research Analysts

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 LULC mapping with Google Earth Engine - this workshop is for you!

Registration Closes: April 17, 2025

Sign Up Now

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

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

Join us for an enriching 5-day workshop hosted by the renowned Indaca Institute of Skills, dedicated to unlocking the potential of Synthetic Aperture Radar (SAR) for agricultural applications.

📅 Date: Jan 25 - Jan 27 and Feb 1 - 2, 2025
🕖 Time: 7:00 PM - 9:00 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 3 month 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 7439308037

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

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. Baidyanath Pal, an esteemed former Associate Scientist at the Indian Statistical Institute Kolkata. 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 | Multinominal Logistic Regression | Factor Analysis | Cluster Analysis | Discriminant Analysis  

Mark your calendars for Nov 2, 2024, 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 19:15 HRS to 21:15 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 2499/- or USD 45/-.

Enrollment is now open, with registration closing on 1 Nov, 2024. 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.

5 day Workshop on Flood Modelling with Open-Source GIS Tools

Join us for an enriching 5-day workshop hosted by the renowned Indaca Institute of Skills, dedicated to mastering Flood Modelling with Open-Source GIS Tools!

📅 Date: Sept 21st - 22nd and Sept 28th - 30th, 2024
🕖 Time: 7:00 PM - 9:00 PM (IST)
🌐 Location: Online (Zoom)

Sign Up Now:

🚀 What You'll Gain:

• A comprehensive understanding of flood modeling techniques for water resource management.

• Hands-on skills in drainage morphometry and waterbody mapping using microwave remote sensing.

• Proficiency in using QGIS, SNAP, HEC-RAS, and Whitebox Tools for flood susceptibility analysis.

• Knowledge of advanced hydrological and hydraulic modeling techniques for flood risk assessment.

• Ability to integrate multiple datasets for accurate flood simulation and prediction.

🌟 Course Highlights:

• Overview of Flood Modeling Techniques: Understand the fundamentals of hydrological modeling and flood risk assessment.

• Hands-on Workshops with Open-Source Tools: Practical sessions with tools like QGIS, SNAP, Whitebox Tools, and HEC-RAS for real-world flood modeling.

• Microwave Remote Sensing for Waterbody Mapping: Learn how to utilize Sentinel-1 SAR data for accurate waterbody detection and flood analysis.

• Basin Prioritization and Flood Susceptibility Analysis: Techniques for effective basin management and flood risk reduction.

• Expert-Led Sessions: Guided by experienced instructors on GIS integration and advanced hydrological modeling.

🌟 Program Benefits:

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

• Networking Opportunities with industry experts and peers in the field of flood modeling and geospatial analysis.

• Access to Workshop Materials and resources for continued learning and professional growth.

• Enhanced Skills and Knowledge to advance your career in flood risk management and GIS.

🌟 Who Should Enroll:

• Hydrologists, environmental scientists, and water resource managers.

• Students and academics in geography, environmental science, and civil engineering.

• GIS professionals and urban planners looking to specialize in flood modeling.

• Anyone interested in learning open-source GIS tools for flood risk assessment.

💰 Benefits of Choosing INDACA:

• Certificate of Completion: Receive a recognized certificate upon completing the workshop, validating your expertise in flood modeling and GIS.

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

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

• Affordable Registration Fees: INDACA believes in accessible education. Register for the workshop at a nominal fee of INR 1499/- or USD 25/-.

📞 For Inquiries (Call/WhatsApp): +91 7439308037

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