2018

BANA 8090: Data Wrangling with R

This 7 week course offered as part of University of Cincinnati’s Master of Science in Business Analytics program teaches the essentials of preprocessing data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information.   


2017

LOGM 655: Text Mining

This 10 week course offered as part of Air Force Institute of Technology’s Master of Science in Logistics and Supply Chain Management program introduces students to the rapidly growing field of text mining and equips them with some of its basic principles and tools as well as its general mindset.   


LOGM 630: Forecasting Management

This 10 week course offered as part of Air Force Institute of Technology’s Master of Science in Logistics and Supply Chain Management program covers the different steps of the forecasting process, from goal definition, data visualization, and modeling to performance evaluation, interpretation, and model deployment.   


BAN 6003: Introduction to Programming with R

This 7 week course offered as part of Wake Forest University’s Master of Science in Business Analytics program provides an intensive, hands-on introduction to the R programming language.   


OPER 682: Operational Data Science with R

This 10 week course offered as part of Air Force Institute of Technology’s Master of Science in Operations Research program teaches the fundamental skills required to acquire, munge, transform, manipulate, visualize, and model data in a computing environment that fosters reproducibility.   


LOGM 520: Managerial Economics

This 10 week course offered as part of the Air Force Institute of Technology’s Master of Science in Logistics and Supply Chain Management program teaches the application and practical utility of basic economic tools to shape pricing and output decisions, optimize the production process and input mix, choose product quality, guide horizontal and vertical merger decisions, and optimally design internal and external incentives.


LOGM 682: Applied Business Analytics with R

This 10 week course offered as part of Air Force Institute of Technology’s Master of Science in Logistics & Supply Chain Management program provides an applied introduction to the field of business analytics, which has been defined as the extensive use of data, statistical and quantitative analysis, exploratory and predictive models, and fact-based management to drive decisions and actions. In this course you will experience an intensive, hands-on introduction to applied business analytics with the R programming language. You will learn and apply the fundamental skills required to acquire, munge, transform, manipulate, visualize, and analyze data in a computing environment that fosters reproducibility.   


2016

BANA 8090: Data Wrangling with R

This 7 week course offered as part of University of Cincinnati’s Master of Science in Business Analytics program teaches the essentials of preprocessing data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information.   


Intro to R Bootcamp

A two day course for all incoming Business Analytics M.S. students at the University of Cincinnati that provides an intensive, hands-on introduction to the R programming language. This short course prepares students with the fundamental programming skills required to start their journey to becoming a modern day data analyst.   


OPER 200: Introduction to Statistical Programming with R

An introductory short course for all incoming Operations Research M.S. students at the Air Force Institute of Technology that provides an intensive, hands-on introduction to the R programming language. This short course prepares students with the fundamental R programming skills required for data wrangling, visualization, and reproducibility.   


LOGM 627: Supply Chain Management

This 10 week course offered as part of the Air Force Institute of Technology’s Master of Science in Logistics and Supply Chain Management program teaches the essentials of the nature and dynamics of integrated supply chain management along with introducing the analytic techniques required in each element of the supply chain to obtain a competitive advantage.