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Business Analytics Professionals: Develop and Use AI Applications for Predictive Modeling and Data Analytics

Business Analytics Professionals: Develop and Use AI Applications for Predictive Modeling and Data Analytics

The TCNJ School of Business – Department of Marketing and Interdisciplinary Business is offering a set of 2 – day courses for business analytics professionals to get started in AI for predictive modeling and data analysis. AI with R at TCNJ.


R is a free open source programming language used for data analytics and statistical analysis. Learning to build and use these AI applications with R will quickly enable you to develop custom AI apps to deploy within your own organization: applications for predictive modeling, for deep learning, for extracting mission-critical information from reams of text, and more.

Join AI with R at TCNJ to learn how to create AI applications that benefit your organization and enhance your analytics skill set and your career.

Data science is driving the AI market, with organizations looking to leverage AI capabilities for predictive modeling. To leverage these capabilities, organizations need developers trained in developing Artificial intelligence applications using R. Businesses all over the world are looking for smarter tools and applications that help them reduce efforts and maximize profits.

You Choose

Select a format that matches your prefered learning style and fits your busy schedule
Live Remote Instruction or Live In Person Instruction at our Ewing, NJ campus
Courses offered Weekdays and Weekends

Introduction to Artificial Intelligence with R

This 2-day course will show you how to get started using AI, using R – the popular programming language used by many statisticians and data scientists around the world. The course begins by presenting the foundations of Artificial intelligence – what it is and why it is needed, followed by four one-half day “hands-on” presentations building AI applications: as machine learning “classifier” apps; as predictive neural network apps; and as text mining natural language processing (NLP) apps.

Data and Business Analytics with R

This 2-day course trains business professionals how to analyze vast volumes of data to directly benefit the goals and objectives of their organization.  You will receive “hands-on” instruction using R for data analytics, examining a variety of areas: data exploration and visualization; decision trees; k-means and hierarchical clustering; outlier detection; association rule mining; social network analysis; and text mining. Other “hands-on” topics and R implementation examples may also be presented.

Complete Course Description – Materials Provided – Software Needed at:
AI with R at TCNJ

Your Instructor: Geoffrey Hubona, PhD, MIS
Geoffrey Hubona held full-time tenure-track, and tenured, assistant and associate professor faculty positions at 3 major state universities in the Eastern United States from 1993-2010. Currently, he is a visiting associate professor of MIS at Texas A&M International University. In these positions, he taught dozens of various statistics, business information systems, and computer science courses to undergraduate, master’s and Ph.D. students. He earned a Ph.D. in Business Administration (Information Systems and Computer Science) from the University of South Florida (USF) in Tampa, FL; an MA in Economics, also from USF; an MBA in Finance from George Mason University in Fairfax, VA; and a BA in Psychology from the University of Virginia in Charlottesville, VA. He is the founder of the Georgia R School (2010-2014) and of R-Courseware (2014-Present), online educational organizations that teach research methods and quantitative analysis techniques. These research methods techniques include linear and non-linear modeling, multivariate methods, data mining, programming and simulation, and structural equation modeling and partial least squares (PLS) path modeling.


Course Schedule

Introduction to Artificial Intelligence with R
On Campus: November 30 and December 1, 2018
Time: 9:30am – 4:30pm
Live Online Remote – December 14 + 15, 2018
Times: 9:30am – 4:30pm. Eastern Daylight Time

Data and Business Analytics with R
On Campus: January 11 + 12, 2019
Live Remote: January 26 and February 2, 2019
Times: 9:30am – 4:30pm. Eastern Daylight Time

On Campus:  $700.00
Live Remote: $300.00
TCNJ Alumni fees available on registration page
Check, Money Order, Credit Cards Accepted
Register Now and Pay Later
Payment Plans Available

Registration and Payment Information at:
AI with R at TCNJ

Contact George Hefelle

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