Leveraging Data-Driven Forecasting for Resilience, Risk, and Resource Optimization
This intensive international course is designed to develop practical skills in predictive analytics applied to climate-sensitive sectors including agriculture, water, energy, and public health. Through interactive sessions using real-world datasets and freely available tools, participants will learn to build predictive models, visualize environmental risks, and support climate-resilient decision-making.
To equip participants with the analytical tools, techniques, and models required to forecast climate-related risks and opportunities in critical sectors, enabling informed planning, sustainable resource management, and policy resilience.
Core Objective: Build climate-sensitive datasets and identify key environmental drivers affecting agriculture, water, energy, and infrastructure.
🛠️ Hands-on Lab: Build a Python-based climate-risk dataset, generate lag and rolling features, and create sector-specific climate risk indicators using Google Colab.
🧰 Tools Covered: Pandas, NumPy, Scikit-learn, Matplotlib, Google Colab
Core Objective: Develop predictive models to forecast climate-sensitive sector risks using machine learning and time-series analytics.
🛠️ Hands-on Lab: Train a machine learning model to forecast climate-related sector risk and compare predicted versus observed risk trends using Google Colab.
🧰 Tools Covered: Scikit-learn, XGBoost, Pandas, Matplotlib, Google Colab
Core Objective: Interpret predictive climate models and evaluate sector vulnerability under changing and extreme climate scenarios.
🛠️ Hands-on Lab: Apply SHAP to a climate-risk prediction model and simulate temperature and rainfall stress scenarios to evaluate changes in sector vulnerability using Google Colab.
🧰 Tools Covered: SHAP, XGBoost, Scikit-learn, Pandas, Google Colab
September 7, 2026
IST 04: 00 PM
September 7, 2026 – September 9, 2026
IST 05:30 PM IST
₹2,499
$50
The live sessions of this workshop are over, so the live fees no longer apply.
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
