Data Analysis at Scale in Cloud

Description from DukeHub

This course is designed to give students a comprehensive view of cloud computing including Big Data and Machine Learning. A variety of learning resources will be used including interactive labs on Cloud Platforms (Google, AWS, Azure). This is a project-based course with extensive hands-on assignments. Open to MIDS students. Prerequisite: ECE students: ECE 580 or ECE 681. All other students will require instructor consent.

Skills

• data and statisticstitle: "data analysis"
• ai and machine learningAI review: "Big Data and Machine Learning"

AI-resilient: 1 of 5 1/5

• ✓Yes: Physical, lab or field work · "hands-on"
• No: Live work with people
• No: Judgment someone is accountable for
• No: A craft you practice with your hands or body
• No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

More in IDS

• Design Your Own Social and Behavioral Research IDS 306S
• Practical Data Science II IDS 541
• Applied Machine Learning IDS 542
• Introduction to Data Science and Quantitative Methods in Risk Management IDS 583
• Data Science and Decision Optimization in Banking & Financial Services IDS 586
• Credit Risk Modeling IDS 598-01

All IDS courses · All of Graduate School