CHEM5725 — Data Analysis & Communication
In the natural sciences, accurate data analysis, visualization, statistical treatment, and communication are imperative. This course emphasizes the importance of efficiently analyzing increasing volumes of data and articulating findings clearly. Utilizing R for data analysis, participants will gain proficiency in tools for hypothesis generation, including visual data representation and summarizing large datasets. The course further delves into statistical tests and models for hypothesis evaluation, equipping students to address specific analytical questions. Effective communication strategies for results will also be covered, ensuring clarity in conveying complex scientific data. Credit for CHEM 5725 will not be granted if credit already received for CHEM 4725. prereq: CHEM 4242 or graduate student