Build practical skills in AI, circular economy, ESG, and climate-risk analysis to turn sustainability goals into actionable business strategies. Designed for learners focused on sustainable business transformation, this course explores how agentic AI, intelligent automation, IoT, and real-time environmental data can optimize energy and resources, reduce carbon emissions, strengthen ESG monitoring and reporting, and improve sustainable operations.

Data-Driven Leadership with Analytics and AI

Gain insight into a topic and learn the fundamentals.
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Apply analytics, metrics, hypothesis testing, and A/B testing to support evidence-based business decisions.
Identify cognitive and AI-related biases and apply debiasing methods and human oversight to improve decision quality.
Design monitored AI feedback loops that detect drift, validate outcomes, and support scalable decision intelligence.
Details to know

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Recently updated!
October 2026
Assessments
16 assignments
Taught in English
See how employees at top companies are mastering in-demand skills

There are 4 modules in this course
Instructor

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