DataPhilly Webinar series: Confidence Intervals: How Much Can We Trust a Number?
Details
📢 Join DataPhilly for an online session with Raymond McCollum, who explains confidence intervals in an easy-to-follow way. The talk starts with simple averages, moves through regression, and ends with modern machine-learning models such as XGBoost.
What you’ll learn:
- Why more data usually improves confidence
- Why some parts of the data carry more information than others
- How to measure uncertainty in complex predictions
Speaker Bio:
Raymond A. McCollum, Ph.D., is a data scientist and statistician with over 25 years of experience spanning defense, aerospace, and financial industries. His work includes applying statistics and data science to anti-submarine warfare for the U.S. Navy, conducting uncertainty analysis in heat shield measurements for NASA’s Mars Lander, and developing automated underwriting systems for Prudential Financial. Over his career—from entry-level analyst to Vice President of Data Science—he has been recognized for innovative problem-solving and creative analytic design. He discovered that the mathematics underlying data analysis remains consistent across disciplines, forming the foundation for both classical statistics and modern data science. As Founder and CEO of Statistical Data Science Solutions (StatDSS), he focuses on advancing statistical rigor in real-world data science applications.
🔗 Webinar access: https://meet.google.com/aki-vdjp-ibg