Climate Change Economics with Data Science Training Course

Introduction

The Climate Change Economics with Data Science training course is a cutting-edge, expert-led program designed to equip professionals with the analytical skills and economic insight needed to respond to the global climate crisis. As nations race to meet climate targets and integrate sustainability into policy, business, and finance, this course provides practical tools to analyze climate-related economic data, interpret sustainability trends, and drive low-carbon transitions using evidence-based decision-making.

Participants will gain a deep understanding of the economic impacts of climate change, including mitigation costs, adaptation strategies, carbon pricing, and the financial risks of inaction. The training blends real-world economic scenarios with hands-on data science techniques such as regression analysis, geospatial data modeling, and climate forecasting—making it ideal for professionals seeking to drive innovation in climate finance, sustainable development, and environmental policy.

Target Audience

• Environmental economists and policy analysts
• Climate finance and ESG professionals
• Data scientists working in sustainability
• Planners and development practitioners
• Climate change and adaptation advisors
• Researchers and academic professionals
• Public and private sector strategists

Duration

10 Days

Course Objectives

1. Understand the economic dimensions and market impacts of climate change
2. Apply data science tools to analyze climate and environmental datasets
3. Evaluate mitigation and adaptation strategies using cost-benefit analysis
4. Explore global climate finance flows, carbon pricing, and economic instruments
5. Forecast climate risks and opportunities using statistical modeling
6. Develop evidence-based climate action proposals grounded in economic analysis
7. Enhance decision-making using data visualization and policy simulations
8. Support low-carbon development planning through integrated economic frameworks

Course Content

Module 1: Fundamentals of Climate Economics

• Economic theory and environmental externalities
• Costs of climate change vs. costs of inaction
• Climate-related market failures
• Role of government and incentives
• Climate investment challenges and barriers

Module 2: Introduction to Climate Data Science

• Climate datasets and data sources (IPCC, NASA, NOAA)
• Introduction to Python or R for environmental data
• Exploratory data analysis and climate indicators
• Time series analysis in climate trends
• Data cleaning and preprocessing techniques

Module 3: Carbon Pricing and Economic Instruments

• Emissions trading schemes and carbon taxes
• Marginal abatement cost curves
• Policy tools for decarbonization
• Global case studies on carbon pricing
• Revenue recycling and fairness concerns

Module 4: Cost-Benefit Analysis for Climate Policy

• Principles of economic evaluation
• Valuing mitigation and adaptation options
• Social cost of carbon and discounting
• Multi-criteria decision analysis
• Uncertainty and sensitivity analysis

Module 5: Climate Finance and Investment Flow Analysis

• Sources of climate finance (GCF, multilateral banks)
• Investment gaps in climate sectors
• ESG investing and green bonds
• Risk assessment for climate finance
• Financial modeling for project evaluation

Module 6: Statistical Modeling of Climate Risk

• Regression analysis for emissions forecasting
• Predictive modeling for temperature or rainfall patterns
• Vulnerability indices and exposure metrics
• Scenario analysis for economic impacts
• Geospatial data and risk mapping

Module 7: Climate-Resilient Economic Planning

• Linking national budgets to climate goals
• Green public financial management
• Climate-informed infrastructure investment
• Economic diversification for resilience
• Institutional frameworks for climate planning

Module 8: Data Visualization and Policy Simulation

• Visual storytelling for climate economics
• Interactive dashboards and geospatial maps
• Policy simulation tools and scenario building
• Presenting climate-economic models to stakeholders
• Building data-driven climate action briefs

General remarks

• Customizable courses are available to address the specific needs of your organization.
• The participant must be conversant in English
• Participants who successfully complete this course will receive a certificate of completion from Lenol Development Center.
• The course fee for onsite training includes facilitation training materials, tea break and lunch.
• Accommodation and airport pick up are made upon request
• For any inquiries reach us through info@lenoldevelopmentcenter.com or +254 710 314 746
• Payment should be made to our bank