Analyze Climate Data

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Analyze Climate Data

This course is part of Satellite Imagery, Remote Sensing & Machine Learning Specialization

Instructor: ansrsource instructors

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3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Calculate temperature anomalies from NetCDF climate data to identify deviations from historical baselines
Visualize decade-long climate trends using Google Colab and Matplotlib to create clear, professional charts
Translate climate data analysis into concise, evidence-based summaries ready for sustainability and ESG reports

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This course is part of the Satellite Imagery, Remote Sensing & Machine Learning Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 3 modules in this course

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.

You will be introduced to temperature anomalies and explained why they are commonly used in climate analysis and sustainability reporting. You will work with NetCDF climate data and apply basic calculations to derive anomalies relative to a baseline period. By the end of this module, you will have a repeatable workflow for calculating temperature anomalies from NetCDF climate data and interpreting them for sustainability analysis.

What's included

2 videos2 readings1 assignment

This module focuses on analyzing climate data by visualizing long-term trends. You will create decade-scale charts and learn how to interpret patterns and variability in a way that supports sustainability analysis. By the end of this module, you will be able to produce clear, decade-long climate trend visualizations using Matplotlib and extract meaningful patterns relevant to sustainability reporting.

What's included

1 video2 readings1 assignment

In this module, you will translate climate data analysis into clear, responsible ESG reporting language. The focus is on evidence-based interpretation rather than prediction. By the end of this module, you will be able to translate climate trend analyses into a concise, evidence-based ESG narrative suitable for inclusion in a sustainability report.

What's included

2 videos2 readings2 assignments

2 videosTotal 7 minutes

Writing Climate Insights for Non-Technical Audiences4 minutes
Advancing through Continuous Learning3 minutes

2 readingsTotal 9 minutes

Climate Trends in ESG Reporting: What to Say and What to Avoid5 minutes
A Simple Framework for Climate Trend Summaries4 minutes

2 assignmentsTotal 35 minutes

Hands-on Learning: Draft an ESG Climate Summary15 minutes
Graded Quiz: Analyze Climate Trends for ESG Reporting20 minutes

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Instructor

ansrsource instructors

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