Online Tutorials

    R programming tutorials covering the entire data science pipeline; from importing, cleaning, wrangling, and visualizing data to applying advanced descriptive and predictive analytics.   


Workshops

    Intermediate R

    Next offering: Jan 31-Feb 1, 2019
    This is the second course in the "R" series offered through University of Cincinnati's Center for Business Analytics. This 2 day course will cover the application of R for the entire data science workflow – data acquisition, wrangling, visualization, analytic modeling, and communication.   

    Text Mining with R

    Next offering: TBD
    This course is part of my "R" series offered through University of Cincinnati's Center for Business Analytics. This 2 day course will cover the application of R for text mining activities such as regular expressions, tidying unstructured text, frequency analysis, sentiment analysis, topic modeling and more.   

    Machine Learning with R

    Next offering: TBD
    This 2 day course will be offered at the 2018 Analytic Summit organized by University of Cincinnati's Center for Business Analytics. This course covers the fundamentals and application of modern machine learning tasks within the R programming language. You will learn how to process data for modeling, train your supervised and unsupervised models, visualize your models and assess their performance, and tune your model's parameters for better performance. Check back soon for more info.   


University Courses

    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.