Master Lifecycle Assessment Using AI and Data Analytics in 4 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of Lifecycle Assessment Using AI and Data Analytics, from foundations to a certified capstone project.
Outline
Understand the importance of LCA in global sustainability • Explore key LCA stages and their application across industries • Set up LCA framework and calculate carbon footprints using OpenLCA • Preprocess environmental data and engineer features in Google Colab
Outline
Introduce regression, classification, and clustering models for LCA • Build a regression model to predict carbon emissions with Scikit‑learn • Apply K‑means clustering to categorize products by impact • Validate and evaluate models using global data standards
Outline
Implement genetic algorithms for lifecycle optimization • Integrate IoT streams for real‑time decision making • Apply Multi‑Criteria Decision Analysis for sustainable interventions • Explore future trends: digital twins, circular economy, smart cities
e-Certificate and e-Marksheet issued on successful completion.