Offered By: IBMSkillsNetwork

Analyze Food Industry Refrigeration Emissions and Leaks

Discover IBM's Environmental Intelligence API and data analytics techniques to manage refrigeration emissions in the food industry. Learn to identify refrigerants, calculate consumption rates, and visualize emissions data, transforming raw information into actionable insights. This project empowers environmental managers to enhance sustainability and compliance efforts in just 30 minutes.

Continue reading

Guided Project

Data Science

88 Enrolled
4.8
(8 Reviews)

At a Glance

Discover IBM's Environmental Intelligence API and data analytics techniques to manage refrigeration emissions in the food industry. Learn to identify refrigerants, calculate consumption rates, and visualize emissions data, transforming raw information into actionable insights. This project empowers environmental managers to enhance sustainability and compliance efforts in just 30 minutes.

Understanding and managing refrigeration emissions in the food industry is crucial for both environmental sustainability and regulatory compliance. By exploring IBM's Environmental Intelligence API and mastering data analytics techniques, you can significantly enhance your ability to monitor and reduce these emissions. This project offers a hands-on approach to identifying refrigerants, calculating their consumption rates, and visualizing emissions data. By transforming raw information into actionable insights, environmental managers can make informed decisions to improve sustainability efforts. In just 30 minutes, you can gain valuable skills that contribute to a greener future.

What You'll Learn

After completing this project, you will be able to:
- Calculate refrigeration consumption rates to monitor usage more effectively.
- Visualize emissions data to gain insights and identify trends.
- Transform raw data into actionable insights to enhance sustainability and compliance efforts.


What can you observe from these scatter plots?

- A strong correlation between emission and consumption.
- A weak or no correlation of `emission` with `Age` and `Leak%`.
- Emission vs consumption appears to be made up of different lines.




What You'll Need

To successfully complete this guided project, you should have:
- Basic knowledge of data analytics concepts.
- Familiarity with data visualization techniques.
- Access to a computer with a current version of Chrome, Edge, Firefox, Internet Explorer, or Safari.
- Note that the IBM Skills Network Labs environment provides pre-installed tools like Docker to facilitate your learning process.

Certificate

No Certificate Offered

Estimated Effort

30 Minutes

Level

Beginner

Industries

Skills You Will Learn

API, Data Analysis, Data Visualization, Environmental Intelligence, Python

Language

English

Course Code

GPXX0BP7EN

Tell Your Friends!

Saved this page to your clipboard!

Have questions or need support? Chat with me 😊