Building Data Centers - Maximum Environmental Sustainability

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Building Data Centers - Maximum Environmental Sustainability

Coursera · Advanced ·📊 Data Analytics & Business Intelligence ·4d ago
Data centers now account for nearly 4% of global electricity consumption, with U.S. facilities consuming 17 billion gallons of water annually for cooling alone. This Short Course was created to help Sustainability professionals accomplish strategic environmental optimization of data center infrastructure. By completing this course, you'll be able to identify high-impact efficiency opportunities through metrics analysis, evaluate cooling architectures that balance carbon reduction with operational resilience, and develop actionable sustainability roadmaps you can present to leadership tomorrow. By the end of this course, you will be able to: Analyze facility PUE, CUE, and WUE data to isolate high-impact efficiency opportunities within an existing or proposed data center Evaluate cooling and power architecture options to recommend solutions that reduce carbon and water footprints while safeguarding uptime requirements Create a comprehensive sustainability action plan incorporating lifecycle thinking, embodied carbon analysis, and verification protocols aligned to a reporting framework This course is unique because it combines advanced efficiency metrics (PUE, CUE, WUE) with lifecycle carbon analysis and ISO 14064 verification protocols, addressing the full spectrum from operational optimization to ESG reporting compliance. To be successful in this project, you should have a background in facility engineering, sustainability program management, or energy systems at CB3 senior-level expertise.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

How I Scraped Real Football Data from Transfermarkt Using Python And What I Learned Along the Way)
Learn how to scrape real football data from Transfermarkt using Python and gain valuable experience in data analytics
Medium · Python
I Quit Designing Data-Intensive Applications (DDIA) Three Times. Here's What I Build on the Fourth Try.
Learn how to build data-intensive applications by overcoming common obstacles and using the right tools and techniques
Dev.to AI
Can You Solve This River Crossing Math Puzzle?
Solve a river crossing math puzzle to improve problem-solving skills and logical thinking
Medium · Data Science
The $1/hour AI analyst: how automation is redefining the value of data roles
Learn how AI automation is redefining the value of data roles and reducing costs
Medium · LLM
Up next
QuickBooks Online - Real-World Skills
Coursera
Watch →