CQAS Webinars

 

Challenges with Collection and Reliability of Data

 

Decision making based on data is only as good as the data themselves. In this webinar, we will discuss challenges with gathering data, including sampling issues and dealing with measurement errors. We will also show simple tools for checking quality of data, including outlier detections and some graphical methods. The goal is to show the participants the potential in improving the quality of their data. This webinar consists of one 3-hour session. The participants will work through a combination of online instructions and demonstrations.

 

Topics include:

• Sampling methods and data collection
• Dealing with measurement errors
• Investigation of quality of data

 

You will benefit by:

• Understanding the best methods to collect reliable data
• Learning simple graphical and computational tools to detect outliers
• Identifying strategies for improving the quality of your data

 

Who should attend

 

Engineers, managers, supervisors and other professionals who need to plan and oversee the data collection efforts. No prior experience or any specific software is required.

 

Cost

 

$150.

Meet your instructor

 

Peter Bajorski, Ph.D., is an Associate Professor at CQAS. He has 28 years of experience in teaching and consulting. He teaches academic courses in statistics as well as short courses for corporate clients in data analysis and Lean Six Sigma. Peter also performs statistical consulting in engineering, finance, and management applications. Prior to joining RIT, he held positions at Cornell University, the University of British Columbia, Simon Fraser University, and the New York State Department of Transportation