PH 142 is an introduction to statistics and data science, primarily for MPH and undergraduate public health majors, and others interested in public health majors. The course material focuses on the biomedical applications of basic data summarization using the statistical programming language: R, classical problems in probability/statistical distributions (Normal, binomial, Poisson), and statistical inference techniques. For Chemistry and Chemical Biology majors, this course can be taken as an allied subject. Priority is given to public health majors but the class is generally accommodating of students in other majors.
High School Algebra
Course is offered in the Spring, Summer, and Fall
3 hours of lecture per week (typically webcasted). 1 hour of discussion/1 hour of laboratory per week (not mandatory). 3-5 hours of homework per week.
This class fulfills 4 units of an Allied subject (for Chemistry/Chemical Biology majors) and requires no previous knowledge of statistics.
The information above is specifically based on the course in Fall 2018 taught by Professor Corrinne Riddell and Professor Alan Hubbard. While the basic statistical skills learned are consistent, the material has been known to vary with different professors
Good for people who have no coding experience and would like to learn the basic
Not necessarily relevant to any College of Chemistry courses but skills gained can be utilized for data analysis and presentation in research
Written by: Divya Natesan
Last edited: Fall 2018