📚 Syllabus & Course Curriculum
Environmental Science & Sustainability
Module-by-module breakdown of Carbon Footprint Modeling: LCA Automation with Python, from foundations to a certified capstone project.
Outline
Set up Anaconda, Jupyter and essential libraries (Pandas, NumPy, Matplotlib) • Import, clean and preprocess LCA datasets (CSV, Excel, JSON) • Visualize emissions and energy data with bar, line, pie and scatter charts
Outline
Write Python functions to calculate carbon, energy and water footprints • Group, aggregate and summarize LCA results by product and lifecycle stage • Optimize scripts for performance and troubleshoot large‑dataset issues
Outline
Create heatmaps, stacked bar charts and multi‑line graphs for deep insights • Automate generation of PDF/Excel reports and interactive dashboards • Apply LCA automation to manufacturing, energy and product‑design case studies
Earn government-registered certification in Carbon Footprint Modeling: LCA Automation with Python
e-Certificate and e-Marksheet issued on successful completion.
