Required Courses (6)

Graphics in R
The aim of this course is to teach you how to produce statistical plots of data using the R language and environment for statistical computing and graphics. The creation of standard plots such as scatterplots, bar charts, histograms, and boxplots will be covered and time will be spent on the underlying model used to produce plots in R so that you can extensively customize these plots.
Tuition: $469 (5.0 CEUs)
New available dates:
October 09, 2015 to November 06, 2015April 29, 2016 to May 27, 2016October 07, 2016 to November 04, 2016May 05, 2017 to June 02, 2017October 06, 2017 to November 03, 2017May 04, 2018 to June 01, 2018October 05, 2018 to November 02, 2018
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Modeling in R
This course will show you how to use R to create statistical models and use them to analyze data.
Tuition: $549 (5.0 CEUs)
New available dates:
August 21, 2015 to September 18, 2015February 05, 2016 to March 04, 2016August 19, 2016 to September 16, 2016February 03, 2017 to March 03, 2017August 18, 2017 to September 15, 2017February 02, 2018 to March 02, 2018August 17, 2018 to September 14, 2018
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R for Statistical Analysis
This course covers how to use R for basic statistical procedures.
Tuition: $469 (5.0 CEUs)
New available dates:
July 24, 2015 to August 21, 2015October 02, 2015 to October 30, 2015January 01, 2016 to January 29, 2016April 01, 2016 to April 29, 2016July 22, 2016 to August 19, 2016October 07, 2016 to November 04, 2016January 06, 2017 to February 03, 2017March 31, 2017 to April 28, 2017July 21, 2017 to August 18, 2017October 06, 2017 to November 03, 2017
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R Programming  Introduction 1
This course will provide an easy introduction to programming in R.
Tuition: $469 (5.0 CEUs)
New available dates:
July 31, 2015 to August 28, 2015November 06, 2015 to December 04, 2015February 26, 2016 to March 25, 2016May 06, 2016 to June 03, 2016July 29, 2016 to August 26, 2016November 04, 2016 to December 02, 2016March 03, 2017 to March 31, 2017May 05, 2017 to June 02, 2017July 28, 2017 to August 25, 2017November 03, 2017 to December 01, 2017February 23, 2018 to March 23, 2018May 04, 2018 to June 01, 2018July 27, 2018 to August 24, 2018November 02, 2018 to November 30, 2018
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R Programming  Introduction 2
This course continues the introduction to R programming.
Tuition: $469 (5.0 CEUs)
New available dates:
September 11, 2015 to October 09, 2015January 29, 2016 to February 26, 2016April 08, 2016 to May 06, 2016June 10, 2016 to July 08, 2016September 09, 2016 to October 07, 2016January 27, 2017 to February 24, 2017April 07, 2017 to May 05, 2017June 09, 2017 to July 07, 2017September 08, 2017 to October 06, 2017January 26, 2018 to February 23, 2018April 06, 2018 to May 04, 2018June 08, 2018 to July 06, 2018September 07, 2018 to October 05, 2018
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Visualization in R with ggplot2
ggplot, created by Hadley Wickham, is an implementation of the grammar of graphics in R. It combines the advantages of both base and lattice graphics: conditioning and shared axes are handled automatically, while maintaining the ability to build up a plot step by step from multiple data sources. It also implements a more sophisticated multidimensional conditioning system and a consistent interface to map data to aesthetic attributes.
ggplot won the 2006 John Chambers Award for Statistical Computing.
Tuition: $469 (5.0 CEUs)
New available dates:
July 24, 2015 to August 21, 2015January 15, 2016 to February 12, 2016July 22, 2016 to August 19, 2016January 13, 2017 to February 10, 2017July 21, 2017 to August 18, 2017January 12, 2018 to February 09, 2018July 20, 2018 to August 17, 2018
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Elective Courses (8 required)

Bayesian Statistics in R
Using R and the associated R package JAGS, you will learn how to specify and run Bayesian modeling procedures using regression models for continuous, count and categorical data.
Tuition: $549 (5.0 CEUs)
New available dates:
September 25, 2015 to October 23, 2015March 25, 2016 to April 22, 2016September 23, 2016 to October 21, 2016March 24, 2017 to April 21, 2017September 22, 2017 to October 20, 2017March 23, 2018 to April 20, 2018September 21, 2018 to October 19, 2018
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Biostatistics in R: Clinical Trial Applications
This course covers the implementation in R of statistical procedures important for the clinical trial statistician.
Tuition: $549 (5.0 CEUs)
New available dates:
To be scheduled.
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Bootstrap Methods
This course covers the basic theory and application of the bootstrap family of procedures, with the emphasis on applications.
Tuition: $549 (5.0 CEUs)
New available dates:
September 18, 2015 to October 16, 2015February 19, 2016 to March 18, 2016September 16, 2016 to October 14, 2016February 17, 2017 to March 17, 2017September 15, 2017 to October 13, 2017February 16, 2018 to March 16, 2018September 14, 2018 to October 12, 2018
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Data Mining  R
The main goal of this course is to teach users how to perform data mining tasks using R.
Tuition: $469 (5.0 CEUs)
New available dates:
October 09, 2015 to November 06, 2015February 05, 2016 to March 04, 2016June 24, 2016 to July 22, 2016October 14, 2016 to November 11, 2016February 03, 2017 to March 03, 2017June 23, 2017 to July 21, 2017October 13, 2017 to November 10, 2017February 02, 2018 to March 02, 2018June 22, 2018 to July 20, 2018October 12, 2018 to November 09, 2018
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Introduction to Smoothing and Pspline Techniques using R
Splines are combinations of different functions that are used to describe and model data differentially in a smooth fashion over different ranges. In this course, you will learn how to use R software to develop splines for data smoothing.
Tuition: $549 (5.0 CEUs)
New available dates:
To be scheduled.
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Logistic Regression
Logistic regression extends ordinary least squares (OLS) methods to model data with binary (yes/no, success/failure) outcomes. Rather than directly estimating the value of the outcome, logistic regression allows you to estimate the probability of a success or failure.
Tuition: $549 (5.0 CEUs)
New available dates:
September 04, 2015 to October 02, 2015November 13, 2015 to December 11, 2015March 11, 2016 to April 08, 2016September 02, 2016 to September 30, 2016March 10, 2017 to April 07, 2017September 01, 2017 to September 29, 2017March 02, 2018 to March 30, 2018August 31, 2018 to September 28, 2018
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R Programming  Advanced
This course covers key concepts for writing advanced R code, emphasizing the design of functional and efficient code. It will set students down the road to mastering the intricacies of R. After completing the course, students should be able to read, understand, modify, and create complex functions to perform a variety of tasks.
Tuition: $489 (5.0 CEUs)
New available dates:
January 08, 2016 to February 05, 2016May 20, 2016 to June 17, 2016January 06, 2017 to February 03, 2017May 19, 2017 to June 16, 2017January 05, 2018 to February 02, 2018May 18, 2018 to June 15, 2018
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R Programming  Intermediate
This course is intended for experienced data analysts looking to unlock the power of R. It provides a systematic overview of R as a programming language, emphasizing good programming practices and the development of clear, concise code. After completing the course, students should be able to manipulate data programmatically using R functions of their own design.
Tuition: $489 (5.0 CEUs)
New available dates:
September 25, 2015 to October 23, 2015April 01, 2016 to April 29, 2016September 23, 2016 to October 21, 2016March 31, 2017 to April 28, 2017September 22, 2017 to October 20, 2017March 30, 2018 to April 27, 2018September 21, 2018 to October 19, 2018
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Spatial Analysis Techniques in R
This course will teach users how to implement spatial statistical analysis procedures using R software.
Tuition: $549 (5.0 CEUs)
New available dates:
January 29, 2016 to February 26, 2016January 27, 2017 to February 24, 2017January 26, 2018 to February 23, 2018January 25, 2019 to February 22, 2019
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SQL and R  Introduction to Database Queries
The purpose of this course is to teach you how to extract data from a relational database using SQL, and merge it into a single file in R, so that you can perform statistical operations.
Tuition: $469 (5.0 CEUs)
New available dates:
August 07, 2015 to September 04, 2015November 13, 2015 to December 11, 2015March 18, 2016 to April 15, 2016August 05, 2016 to September 02, 2016November 11, 2016 to December 09, 2016March 17, 2017 to April 14, 2017August 04, 2017 to September 01, 2017November 10, 2017 to December 08, 2017March 16, 2018 to April 13, 2018August 03, 2018 to August 31, 2018November 09, 2018 to December 07, 2018
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Statistical Analysis of Microarray Data with R
This course will acquaint you with the process of analysis of microarray data. You will learn how to preprocess the data, short list the differentially expressed genes, carryout principal component analysis to reduce the dimensionality and to detect interesting gene expression patterns, and clustering of genes and samples. Illustrations of the statistical issues involved at the various stages of the analysis will use real data sets from DNA microarray experiments; background will be provided on the use of Bioconductor.
Tuition: $549 (5.0 CEUs)
New available dates:
April 15, 2016 to May 13, 2016
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