| Attribute | Detail |
|---|---|
| Format | Recorded Lectures |
| Level | Advanced |
| Duration | 3 Days (60-90 Minutes Each Day) |
| Certification | e-Certification + e-Marksheet |
| Fee | Free |
| Tools | Google Colab Python Pandas NumPy Matplotlib Scikit-learn Plotly Streamlit OpenRefine QGIS |
About the Microplastics Analytics and Mitigation: Detection Technologies, Risk Assessment & Circular Intervention Strategies Course
A 3‑day intensive online course that equips you with the skills to detect, analyze, assess risk, and design circular‑economy interventions for microplastics pollution.
You will work with open‑access tools such as Google Colab, Python, QGIS, and OpenLCA to clean real datasets, map hotspots, and build actionable mitigation roadmaps.
Program Highlights
• Comprehensive coverage of Microplastics Analytics and Mitigation from fundamentals to advanced applications
• Hands-on projects and real-world case studies in environmental analytics
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: Google Colab, Python, Pandas, NumPy
• Career-oriented training for academic and professional growth in environmental analytics
Course Curriculum
Module 1: Day 1 – Detection, Characterization & Data Analytics
- Explore sources, pathways and environmental fate of micro‑ and nanoplastics
- Operate microscopy, FTIR, Raman and AI‑assisted image analysis techniques
- Clean and visualize particle‑level datasets in Google Colab using Python libraries
Module 2: Day 2 – Risk Assessment & Spatial Mapping
- Construct risk‑scoring models incorporating size, polymer type and concentration
- Apply QGIS and Google Earth Engine to map contamination hotspots
- Prioritize high‑risk zones using data‑driven decision frameworks
Module 3: Day 3 – Mitigation, Circular Economy & Intervention Design
- Identify mitigation pathways across product design, wastewater and textile sectors
- Run life‑cycle assessments with OpenLCA to evaluate circular alternatives
- Design a decision‑matrix dashboard to rank interventions by impact, cost and circularity
Tools, Techniques, or Platforms Covered
Google Colab Python Pandas NumPy Matplotlib Scikit-learn Plotly Streamlit OpenRefine QGIS
Real-World Applications
- Apply Microplastics Analytics and Mitigation skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical environmental analytics competencies
- Solve industry-relevant problems using Microplastics Analytics and Mitigation methodologies and tools
- Contribute to open-source projects and collaborative research in environmental analytics
- Prepare for competitive examinations, interviews, and professional certifications in environmental analytics
Who Should Attend & Prerequisites
- Students pursuing degrees in environmental analytics, science, engineering, or related disciplines
- Working professionals seeking to upskill or transition into environmental analytics roles
- Researchers and academicians looking to adopt modern techniques in environmental analytics
- Entrepreneurs, freelancers, and self-learners interested in practical environmental analytics knowledge
Certification
