Analyze Environmental Impacts of Power Plant Fuel Choice
Assess power plant emissions from coal, natural gas, and oil to calculate and compare greenhouse gas outputs and environmental impact. In this project, you'll use IBM Environmental Intelligence APIs to gain hands-on experience in data-driven decision-making, equipping you with skills to enhance sustainable energy practices.
4.5 (20 Reviews)

Language
- English
Topic
- Data Science
Enrollment Count
- 127
Skills You Will Learn
- Data Analysis, API, Data Visualization, Environmental Intelligence, Python
Offered By
- IBMSkillsNetwork
Estimated Effort
- 30 minutes
Platform
- SkillsNetwork
Last Update
- February 7, 2026
This project is outdated. It will be updated later.
In this guided project, you'll analyze and evaluate the emissions profile of power plants using coal, natural gas, and oil. This project will show you how to calculate and compare greenhouse gas emissions, a critical aspect of environmental science and policy-making. Using an IBM Environmental Intelligence API, you will enhance your data-driven decision-making skills and equip yourself with the knowledge necessary to advocate for and implement sustainable energy practices. In just 30 minutes, you'll be on your way to influencing choices and strategies in the energy sector, contributing to a more sustainable future.
Note: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.
What you'll learn
- Articulate the environmental impacts associated with different fuel choices in power generation.
- Use an IBM Environmental Intelligence API to effectively access and analyze emissions data.
- Calculate and compare greenhouse gas outputs from various fuels.
- Develop strategies for sustainable energy practices based on data-driven insights.
Comparison of Emissions Between Power Plant Types:
What you'll need
- Basic knowledge of data analysis concepts.
- Familiarity with using APIs, though detailed instructions will be provided.
- Access to a current version of Chrome, Edge, Firefox, Internet Explorer, or Safari for optimal performance on the platform.
This hands-on project will transform your understanding of energy emissions and empower you with practical skills to make informed decisions that can drive sustainability in energy practices.

Language
- English
Topic
- Data Science
Enrollment Count
- 127
Skills You Will Learn
- Data Analysis, API, Data Visualization, Environmental Intelligence, Python
Offered By
- IBMSkillsNetwork
Estimated Effort
- 30 minutes
Platform
- SkillsNetwork
Last Update
- February 7, 2026
Instructors
Ricky Shi
Data Scientist at IBM
Ricky Shi is a Data Scientist at IBM, specializing in deep learning, computer vision, and Large Language Models. He applies advanced machine learning and generative AI techniques to solve complex challenges across various sectors. As an enthusiastic mentor, Ricky is committed to helping colleagues and peers master technical intricacies and drive innovation.
Read moreSanthosh Ramalingam T
Staff Software Engineer - Full Stack
Hi there! I’m a passionate software engineer with a strong foundation in Java, springboot, python, ML,NLP, Js , angular and react. I thrive on solving complex problems and creating efficient, user-friendly applications. When I’m not coding, you can find me exploring the latest tech trends, contributing to open-source projects, or honing my skills through personal projects. I believe in continuous learning and enjoy sharing knowledge with others in the tech community.
Read moreContributors
Neil MacKinnon
Senior Editor and Technical Content Producer, IBM Developer
I am a writer, editor, video producer, and digital content strategist with over 20 years of experience in technical writing, content development, and professional publishing. I provide direction and produce content for multiple communications platforms, including websites, social media, podcasts, and video channels.
Read moreHailey Quach
Data Scientist
Hi, I'm Hailey. I enjoy teaching others to build creative and impactful AI projects. By day, I’m a Data Scientist at IBM; by night, an Honors BSc student at Concordia University in Montreal, always exploring new ways to combine learning with innovation.
Read more