STATISTICAL ENGINEERING: PROBLEM FORMULATION FOR SUCCESSFUL DATA PROJECTS

Don't start with the data. Start with the problem. Master the art of problem formulation in statistical practice.

Many data science, analytics, and improvement projects fail—not because of poor statistical methods, but because the wrong problem was defined in the first place.

This interactive short course introduces the principles of Statistical Engineering and teaches participants how to frame, structure, and formulate problems that lead to successful data-informed solutions.

Who Should Attend?

• Experienced statisticians and data scientists who want to enhance project results
• Early-career professionals involved in data-driven decision making
• Graduate students in statistics, data science, analytics, or related disciplines

What You Will Learn

Participants will learn how to:

• Apply the Statistical Engineering problem-solving framework
• Recognize strengths and weaknesses of problem statements
• Formulate clear, actionable, and measurable problem statements
• Avoid common project pitfalls and framing errors
• Develop strategies for tackling large, complex, and unstructured problems

Course Delivery Format

The course is split into two online live sessions

Session 1: September 10 at 10 am - 12 pm EST

Session 2: September 24 at 10 am - 12 pm EST

Each session will utilize interactive learning through:

• Expert instruction
• Individual reflection exercises
• Group discussions
• Real-world case studies
• Practical problem-formulation activities

Registration

Course Fee: US$50

Includes participation in both online sessions and all course materials. Registration fee is waived for Silver and Gold corporate members. For questions and general inquiry: info@isea-change.org

For Registration & Information: Coming Soon!