Data and Analytics for Climate Action, Adaptation & Carbon Accounting Training Course

Climate action is increasingly a data discipline. Governments prepare adaptation plans, banks assess physical risk, companies report emissions to investors and customers, and climate funds ask applicants for evidence at every step. Yet climate and emissions data are often scattered, inconsistent in format or poorly documented, which makes sound analysis difficult.

The Data and Analytics for Climate Action, Adaptation & Carbon Accounting Training Course gives practitioners the working methods to handle that data. Participants start with sources and quality: weather stations, reanalysis products, remote sensing indices, household surveys and utility records. They then learn to prepare data, analyse trends and extremes, and combine hazard, exposure and vulnerability layers into risk measures that can guide adaptation priorities and tracking indicators.

The second half turns to carbon accounting. Participants set organisational and operational boundaries, select emission factors, calculate energy, transport, waste and agricultural emissions, and review how offsets and reduction targets are treated. They also examine verification expectations and how to present uncertainty honestly. Each topic is taught through guided lab work, so participants finish with scripts, workbooks and a short analytical report that can be reused in their own organisations.

By the close of the course, participants will be able to:

• Identify and assess the quality of climate and emissions data sources.
• Clean, transform and visualise climate time series in Python and Excel.
• Analyse long-term trends, variability and extreme events.
• Construct hazard, exposure and vulnerability indices for risk screening.
• Prioritise adaptation options using simple cost and benefit measures.
• Calculate organisational greenhouse gas inventories following the GHG Protocol.
• Document assumptions, uncertainty and data gaps for review.
• Present climate evidence to decision makers and funders.

The programme is designed for professionals who turn climate information into decisions, such as:

• Data analysts and statisticians in public and private institutions
• Climate change and sustainability officers
• Environmental and energy consultants
• Monitoring, evaluation and learning specialists on climate projects
• County, regional and national development planners
• Agriculture and water resource analysts
• ESG and reporting managers in companies and banks
• Researchers and programme officers in NGOs and development agencies

Participants leave with:

• A reusable Python notebook for cleaning and analysing climate time series.
• A climate risk screening workbook with scoring logic.
• A completed sample carbon inventory with emission factor sources.
• A checklist for documenting data quality and uncertainty.
• Charts and a summary layout suitable for funder reports.
• A prioritised list of analyses to apply in their own organisation.

The course is laboratory based and uses:

• Guided coding sessions with prepared notebooks and sample datasets
• Spreadsheet alternatives for participants who prefer Excel
• Realistic emissions data for an office, a factory and a farm
• Pair work and group review of risk scoring decisions
• Short briefings on standards and funder expectations

Participants who attend the full programme and complete the lab exercises receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy. It documents training in climate analytics and carbon accounting.