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DSTC-CLIM-2608 Open Online Advanced / Post-Graduate 3 Days · Live + Recorded

Predictive Analytics for Climate-Sensitive Sectors

by - DSTC

Apply forecasting and ML to climate-exposed sectors like agriculture, energy and water.

Starting from ₹2,999+GST

Register Now

Core Parameters

Level:
Advanced / Post-Graduate
Duration / Workload:
3 Days · Live + Recorded (12 Hrs Total)
Venue Mode:
Online
Prerequisites:
PhD candidates, postdoctoral researchers, academic faculty, and industry R&D teams.

📅 Important Schedule Dates (Tentative)

Session Commencement (Tentative):
14 Aug 2026 · 5:00 PM IST
Session Conclusion (Tentative):
16 Aug 2026 · 5:00 PM IST
Enrollment Deadline (Tentative):
13 Aug 2026
Schedule Note: This schedule is tentative and subject to minor adjustments. Once the program registrations go live, all finalized dates and times will be sent to registered interest leads.

🎯 Program Aim

This workshop develops predictive-analytics skills for climate-sensitive sectors, combining climate data, time-series forecasting and machine learning for risk and resource planning.

📋 Workshop Objectives

Access and process climate and remote-sensing data
Build time-series forecasts (ARIMA, Prophet, LSTM)
Model climate risk for agriculture, energy and water
Quantify uncertainty in projections
Translate forecasts into sectoral decisions

👥 Who Should Enroll?

Climate and environmental data analysts
Agri-tech and energy planners
PhD scholars in climate science
Policy and risk-assessment professionals

🚀 Key Learning Outcomes

A sector-specific forecasting model
Skills in Prophet and LSTM pipelines
Climate-risk scenario dashboards
Verified e-Certificate of Industrial Competency

💎 What You'll Gain from this Program

🎥
Live & Recorded Sessions
Lifetime access to class recordings
🎓
e-Certificate upon Completion
Cryptographically verified credentials
💬
Post-Workshop Query Support
Direct chat access to mentors & council
💻
Hands-On Learning Experience
Step-by-step Jupyter notebooks & code

Curriculum Outline

Day 1 Data

Climate Data Pipelines

Sourcing ERA5/remote-sensing data, feature engineering and handling seasonality.

Day 2 Forecasting

Time-Series & ML

ARIMA, Prophet and LSTM forecasting with validation and uncertainty quantification.

Day 3 Application

Sectoral Risk Models

Agriculture/energy/water case studies and decision-ready risk dashboards.

Apply forecasting and ML to climate-exposed sectors like agriculture, energy and water.

This workshop develops predictive-analytics skills for climate-sensitive sectors, combining climate data, time-series forecasting and machine learning for risk and resource planning.

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Scholar Registration

For scholars whose department, college or employer pays the fee. We raise a proforma invoice to your institution; you attach the signed processing letter or bank slip.

The proforma invoice is emailed here as well as to you.
📄 Upload Sponsorship Slip / Letter

Signed letter on official letterhead, or the bank transfer slip. PDF/JPG/PNG, up to 5 MB.

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