1 - 4 of 4 results for: STATS191

The class allows students to grow their ability to communicate ideas and insights with data. There are many components of a well-crafted narrative based on data---from a discussion of data sources to visualization, and from pattern detection to generalizable conclusions---which we explore in sequence across the quarter. The class does not introduce advanced data analysis techniques. It rather focuses on the essential elements of an inquiry conducted with data and places a special emphasis on how to record and communicate these. Each student enrolled in class needs to identify a dataset and a question that they are going to explore. As we examine the different components of a data inquiry, the students will carry out a corresponding analysis/writing assignment on the data they have identified, gradually building material for the narrative that will constitute their final paper. This course is required for students participating in SURP-Stats and for Data Science BS students who are fulfilling their capstone requirement with independent research (including Honors thesis) or with DATASCI 190. Prerequisite: Stats191 or equivalent. (WIM)

The class allows students to grow their ability to communicate ideas and insights with data. There are many components of a well-crafted narrative based on data---from a discussion of data sources to visualization, and from pattern detection to generalizable conclusions---which we explore in sequence across the quarter. The class does not introduce advanced data analysis techniques. It rather focuses on the essential elements of an inquiry conducted with data and places a special emphasis on how to record and communicate these. Each student enrolled in class needs to identify a dataset and a question that they are going to explore. As we examine the different components of a data inquiry, the students will carry out a corresponding analysis/writing assignment on the data they have identified, gradually building material for the narrative that will constitute their final paper. This course is required for students participating in SURP-Stats and for Data Science BS students who are fulfilling their capstone requirement with independent research (including Honors thesis) or with DATASCI 190. Prerequisite: Stats191 or equivalent. (WIM)

Intermediate statistics course covering statistical models, such as linear regression, analysis of variance, categorical data analysis, and logistic regression. Emphasis is on conceptual rather than theoretical understanding. Applications to social/biological sciences. Student assignments/projects require use of the software package R. Prerequisites: Introductory statistics course, such as STATS 60, STATS 110, STATS 141, or 5 on the AP Statistics exam. See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.