Assistant/Associate Adjunct Faculty in Business Analytics - OPS 804.01 Advanced Data Analysis -

Assistant/Associate Adjunct Faculty in Business Analytics - OPS 804.01 Advanced Data Analysis - Spring Quarter 2021

Location: Sunnyvale, CA
Open Date: Oct 20, 2020
Deadline:

Description: Founded in 1863, Saint Mary's is a residential campus nestled 20 miles east of San Francisco in the picturesque Moraga Valley. Based in the Catholic, Lasallian and Liberal Arts traditions, Saint Mary's currently enrolls more than 4,000 students from diverse backgrounds in undergraduate and graduate programs. The De La Salle Christian Brothers, the largest teaching order of the Roman Catholic Church, guide the spiritual and academic character of the College.

As a comprehensive and independent institution, Saint Mary's offers undergraduate and graduate programs integrating liberal and professional education. Saint Mary's reputation for excellence, innovation, and responsiveness in education stems from its vibrant heritage as a Catholic, Lasallian and Liberal Arts institution. An outstanding, committed faculty and staff that value shared inquiry, integrative learning, and student interaction bring these traditions to life in the 21st century. The College is committed to the educational benefits of diversity.


Qualifications:
OPS 804, Advanced Data Analysis

Spring Quarter, 4/17/2021-6/19/2021, Every Saturday 8:00 AM to 12:00PM, Silicon Valley Campus

This course is designed to equip students with advanced techniques for data analysis. It builds on the Data Analysis course. Topics include Regression, Logistic Regression, Non-linear Regression, Time Series Analysis, Nonparametric Methods, Bayesian Probability Updating, and Decision Analysis. Students will continue learning R in this course.

Qualifications

- Ph.D. degree in Business Analytics or a closely related field and a recent publication record in the field, OR

- A Master’s degree in Business Analytics or a closely related field and five years of current, relevant professional experience.


To apply, visit https://apply.interfolio.com/80153

jeid-17491033b455e844891e1ce56d1f2e7d