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Analyze Climate Data
Курс от CourseraО курсе
To take this course you must have a prior experience and basic comfort working with data and interpreting simple charts. But no prior programming, climate‑science or ESG background required. This course starts with working confidently with climate data. In this short, hands-on course, you’ll learn how to analyze real climate datasets and translate your findings into clear, sustainability-focused insights. You’ll calculate temperature anomalies from NetCDF data, visualize decade-long trends using Google Collab and Matplotlib, and interpret patterns that matter for long-term climate analysis. Through guided activities and practical examples, you’ll move from raw data to clear charts and concise, evidence-based summaries. Designed for beginner data analysts, Analyze Climate Data builds your confidence in producing climate trend insights that are ready to include in sustainability or ESG reports.
Навыки, которые вы освоите
Trend AnalysisEnvironmental Social And Corporate Governance (ESG)Data AnalysisTime Series Analysis and ForecastingSustainable BusinessTechnical CommunicationReport WritingScientific VisualizationClimate Change ProgramsMarket DataPivot Tables And ChartsAnomaly DetectionData LiteracyData StorytellingData Visualization SoftwarePlot (Graphics)Sustainability StandardsMatplotlib
Программа курса
3 модулей · 18 учебных материалов
01Calculating Temperature Anomalies from Climate Data6 материалов
Calculating Temperature Anomalies from Climate Data
Why Temperature Anomalies MatterDIALOGUE Introduction and WelcomeВидеоClimate Data Basics: NetCDF, Baselines, and AnomaliesЧтениеAnomaly Calculation Explained Step by StepВидеоУчитесь у экспертов
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