Fall 2021

Advanced Data Analysis

Listed in: Mathematics and Statistics, as STAT-495


Nicholas J. Horton (Section 01)


Our world is awash in data. To allow decisions to be made based on evidence, there is a need for statisticians to be able to make sense of the data around us and communicate their findings. In this course, students will be exposed to advanced statistical methods and will undertake the analysis and interpretation of complex and real-world datasets that go beyond textbook problems. Course topics will vary from year to year depending on the instructor and selected case studies but will include static and dynamic visualization techniques to summarize and display high dimensional data, advanced topics in design and linear regression, ethics, and selected topics in data mining. Other topics may vary but might include nonparametric analysis, spatial data, and analysis of network data. Through a series of case studies, students will develop the capacity to think and compute with data, undertake and assess analyses, and effectively communicate their results using written and oral presentation.

Requisite: STAT 230, STAT 231, STAT 370, and the computing requirement; or consent of the instructor. Recommended requisite: STAT 231. Limited to 20 students. Fall semester. Professor Wagaman.

Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: quantitative work, problem sets, quizzes or exams, group work, use of computational software, research paper (project), oral presentations Students with documented disabilities who will require accommodations in this course should be in consultation with Accessibility Services and reach out to the faculty member as soon as possible to ensure that accommodations can be made in a timely manner.

If Overenrolled: Preference will be given to Statistics majors

Cost: $75 (required) optional book is $63 ?

STAT 495 - LEC

Section 01
M 10:00 AM - 10:50 AM SMUD 205
W 10:00 AM - 10:50 AM SMUD 205
F 10:00 AM - 10:50 AM SMUD 205

This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.

ISBN Title Publisher Author(s) Comment Book Store Price
Computer Age Statistical Inference Cambridge Efron and Hastie Free pdf of the textbook is available online from the publisher. TBD


2024-25: Not offered
Other years: Offered in Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021