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.

Short courses:

• 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

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.