Dereviankin presents "Data Analytics and Statistics in Quantitative Chemical Analysis - Chemometric Workflow for Forensic Investigations!" The rapid advancement and increased ability to resolve chemical components has superseded the common procedures for forensic data analysis. Chemometrics is a disciplined blended data science that aims to efficiently extract information from the expanding inventory of measurable chemicals. A methodological workflow rooted in big predictive analytics will be presented for statistically modelling changes in complex collected chemical data for applications in forensic consulting. After completion of this course, attendees will gain familiarity with concepts involving data pre-processing, statistical correlation, and multivariant statistical analysis. Case studies will be presented for the application of modern data science computer science techniques and creating supporting visuals. 

⚠️Full conference information is available here: https://pittcon.org