Courses at UTSA [2018 - ]
MS 4203. Business Analytics Applications (Undergraduate)
Business applications (e.g. supply chain, finance, marketing, etc.) of machine learning, including regression, support vector, decision trees, & ensemble methods. Use of case-studies & guest speakers.
DA 6813. Data Analytics Applications (Graduate)
Applications (e.g. areas of business, healthcare, sports, etc.) of machine learning, including regression, support vector, decision trees, & ensemble methods. Use of case-studies & guest speakers.
MS 3073. Business Intelligence and Analytics (Undergraduate)
Introduction to Business Analytics, Statistical Analysis and Vizualizations with Business Applications, Data Management.
MS 3043. Business Statistics with Computer Applications II (Undergraduate)
ANOVA, Test for Independence, Regression, Forecasting, Quality Control & Decision Analysis.
ITESM Bridge to Data Analytics - Introduction to Programming in R (Professional)
Data types, data wranging, functions, loops, conditonals, visualization, strings, date and time in R.
Introduction to Programming in R bootcamp (Graduate). Data types, visualization, data wrangling, functions, loops, and conditionals.
Mobilizing Your Nonprofit Leadership with Big Data Analytics (Professional). Data analytics for non-profits
Health Analytics (Professional). Data analytics algorithms for healthcare delivery
Utilizing Data Analytics to Capture Value for your Business (Professional). Machine learning models in business
Courses at BGSU [2015 - 2018]
BA 2120. Predictive Analytics
Confidence intervals, hypothesis testing, analysis of variance, two-way tables, linear regression, & forecasting.
STAT 6010/6010P. Statistics for Managerial Decisions
Exploratory data analysis, confidence intervals, hypothesis testing, analysis of variance, two-way tables, linear regression, & forecasting.
STAT 4060/5060. Sampling Design
Statistical estimators for simple random, stratified, systematic, & cluster sampling, sample size computations, & design of surveys.
OR 3800. Introduction to Management Science
Linear & integer programming, decision analysis under uncertainty & simulation.