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Assistant/Associate Adjunct Faculty in Business Analytics - OPS 332.01 Advanced Data Analytics -

Employer
Saint Mary's College of California
Location
California, United States
Salary
Salary Not specified
Date posted
Nov 4, 2020

View more

Position Type
Faculty Positions, Business & Management, Other Business & Management
Employment Level
Adjunct
Employment Type
Part Time


Assistant/Associate Adjunct Faculty in Business Analytics - OPS 332.01 Advanced Data Analytics - Winter Quarter 2021

Location: Online
Open Date: Oct 30, 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 332, Advanced Data Analytics (4 quarter units)

Winter Quarter, 1/11/2021-3/18/2021, Every Thursday Evening from 6:00 PM to 10:00 PM, (Online)

Course Modality: 100% Online. Applicant must reside in California.

This course is designed to equip students with advanced techniques for data analysis, forecasting and decision-making, applying them through case studies, and projects. It builds on the Data Analysis course. Topics include Logistic Regression, Non-linear Regression, Time Series Analysis, Nonparametric Methods, Bayesian Probability Updating, and Decision Analysis. This course involves extensive use of Excel and an introduction to the statistical software R.

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/80586

jeid-46eca421709d5b4bbd9c971667ed347c

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