Forecasting

Description from DukeHub

The need for forecasting and data analysis arises in every area of business: in finance, accounting, strategic planning, production and supply chain management, marketing, and sales. This course will cover the most commonly used statistical forecasting techniques, including multiple regression and time-series models, at a more advanced level than the core statistics course. Managerial issues in forecasting will also be discussed. The course will emphasize hands-on computing with a full-feature statistics package. This course is for Daytime MBA and Accelerated Daytime MBA students.

Skills

• data and statisticsdescription: "forecasting" and 7 more
• financedescription: "finance" and 1 more

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

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