Data Science for Climate Change

Gain a solid introduction to data science

On this four-week course, you’ll get started with data science to learn what it is, how it is used, and the societal influence it can have on big issues such as climate change.

You’ll gain a comprehensive understanding of data science including big data, data architecture, and the types of analytics you can use to make data-driven decisions.

Understand how to use visualisation

First, you’ll unpack the process of visualisation to understand how you can accurately represent the information and data you collect. With this knowledge, you’ll learn how visual aids help share your results.

Next, you’ll delve into CRISP-DM to ensure you have a structured approach to your data mining processes.

Learn how to make data-driven decisions

With an understanding of data science, you’ll hone your decision-making skills and gain confidence in making data-driven decisions.

You’ll be guided through the decision process to understand how to navigate the human and machine collaboration to make informed decisions and develop your decision-making style.

Explore climate change adaptation strategies

Finally, you’ll unpack how data science can be used to address the pressing issue of climate change.

You’ll be introduced to what climate change is, adaptation, and mitigation before exploring the many challenges that come with climate change.

Through this exploration, you’ll learn how to use data to find solutions to climate change issues and mitigate impacts.

You’ll see data science and climate change in practice to gain a solid understanding of how this can be used in real-life contexts and the career opportunities it presents.

This course is designed for people who want to improve their analytics and data-driven decision making, with a focus on utilising such skills for addressing climate change.

The course will also be useful for practitioners and policy-makers to build an understanding of the uncertainties and ambiguities inherent in data. What’s more, you’ll discover how data can be used to identify interventions, strategies, and solutions that realise benefits for humanity and the environment.

• Getting Started with Data Science
• Course Overview
• Data Science Overview
• The Data Flood
• Analytics
• Visualization and Analytics as a Process
• Visualization
• CRISP-DM
• Other Processes
• Data-driven Decisions
• Decision-making
• Decision-making Process
• Data-driven Decisions
• Human-machine Collaboration
• Decision-making Styles
• Climate Change and Use Cases
• Introduction to Climate Change
• Climate Change Challenges
• Data Science and Climate Change
• Use Cases
• Course Wrap Up