Build a business-focused understanding of data science, machine learning, and generative AI
Understand how generative AI systems, large language models (LLMs), and prompt engineering work to apply them responsibly and effectively
Use LLM-powered analytical tools like Julius to explore, build, and validate data models
Apply unsupervised and supervised learning techniques to uncover patterns, segment data, and forecast outcomes
Translate data analysis into strategic business decisions
Design and evaluate business experiments to generate evidence-based insights
Data Science and AI for Decision Making bridges the gap between data analysis and high-stakes business decisions. You’ll apply cutting-edge AI tools through hands-on learning and build an experimentation mindset to drive measurable outcomes.
