PASS

Programs in Analytics and Statistical Studies

Master the software and practical skills
you need to get ahead.

Using R

The Institute offers 100+ courses in statistics and analytics; this particular certificate program focuses on those courses relevant to learning how to program in R and use it for statistical analysis.  Most courses are 4 weeks long, do not require you to be online at specific times during the week, and offer continuing education credits.  The workload for the entire program is the equivalent of 21 credits in the U.S. academic system.

 

The courses are taught by recognized authorities with whom you share a private discussion forum for the entire course period.

Most PASS candidates choose to take one course at a time.  With courses starting every week of the year, there is considerable scheduling flexibility.  Admission applications are accepted on a rolling basis throughout the year.

Application Fee: $75
Program Registration Fee:$495
Estimated Required Course Tuition: $2394
Estimated Electives Course Tuition: $2946
Estimated Material Cost: $700
Estimated Total Cost: $6610

Using R

Program Content

The program consists of courses offered completely online at Statistics.com. There is a small group of required topics, plus a number of electives. Different concentration strands within the program are available, corresponding to different sets of suggested electives. These strands are optional; if you successfully complete the courses in the strand this will be reflected on your PASS transcript. In addition to the concentration electives, students select several additional electives from among the general Program electives.

R Programming:  We suggest R Programming Intermediate, R Programming Advanced, and Wrangling and Munging Data with SQL and R.  If you are experienced with programming languages or statistical computation environments, you can skip over R Programming - Introduction.  If you are new to programming altogether, this strand will not be useful to you unless you build in a couple of years of on-the-job programming experience between the initial courses and R Programming Intermediate.

R for Statistical Analysis:  We suggest Logistic Regression, Introduction to Smoothing and P-spline Techniques Using R, and Wrangling and Munging Data with SQL and R.


Plan your PASS

 

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Planning your Program

Most courses are four weeks long, and are scheduled either once or twice a year. Courses start on specific dates, but do not require you to be online at any particular time of the day. Since various courses are available throughout the year, the Program provides flexibility in scheduling.

Use the interactive "Plan Your PASS" tool to map out your program.  Additionally, the required and elective courses are listed below in alphabetical order with the next available date.  IMPORTANT:  The interactive planning tool does not include detailed information on prerequisites for each course.  See the course description for that information.

After your successful acceptance into PASS, you can begin your program with any course, based on your own background, the level of difficulty and whether you meet individual course prerequisites.

As a PASS candidate, you are eligible for the academic affiliation tuition reduction - indicate "PASS" when prompted for your academic affiliation during online registration.  As an added benefit, if you register online for three courses simultaneously, an automatic $200 reduction is applied.  Please note that payment of tuition and fees does not include the purchase of any required texts or software.


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: $399 (5.0 CEUs) New available dates: October 18, 2013 to November 15, 2013May 02, 2014 to May 30, 2014October 03, 2014 to October 31, 2014 more >>
  • Introduction to R - Data Handling

    This course will provide an easy introduction to R and its use in organizing and exploring data. Once you've completed this course you'll be able to enter, save, retrieve, manipulate, summarize and display data using R.

    See also the related course Introduction to R-Statistical Analysis, which is an introduction to the use of R for executing statistical tests and procedures.

    Tuition: $399 (5.0 CEUs) New available dates: September 13, 2013 to October 11, 2013November 08, 2013 to December 06, 2013March 07, 2014 to April 04, 2014May 09, 2014 to June 06, 2014August 01, 2014 to August 29, 2014 more >>
  • Introduction to R - Statistical Analysis This course covers how to use R for basic statistical procedures. Tuition: $399 (5.0 CEUs) New available dates: July 26, 2013 to August 23, 2013October 04, 2013 to November 01, 2013 more >>
  • Modeling in R This course will show you how to use R to create statistical models and use them to analyze data. Tuition: $399 (5.0 CEUs) New available dates: August 30, 2013 to September 27, 2013 more >>
  • R Programming - Introduction Tuition: $399 (5.0 CEUs) New available dates: August 23, 2013 to September 20, 2013February 28, 2014 to March 28, 2014 more >>
  • 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: $399 (5.0 CEUs) New available dates: July 26, 2013 to August 23, 2013 more >>

Elective Courses (8 required)

  • Bayesian Statistics in R Tuition: (5.0 CEUs) New available dates: To be scheduled. more >>
  • Biostatistics in R: Clinical Trial Applications This course covers the implementation in R of statistical procedures important for the clinical trial statistician. Tuition: $399 (5.0 CEUs) New available dates: May 24, 2013 to June 21, 2013May 23, 2014 to June 20, 2014 more >>
  • Bootstrap Methods This course covers the basic theory and application of the bootstrap family of procedures, with the emphasis on applications. Tuition: $399 (5.0 CEUs) New available dates: September 20, 2013 to October 18, 2013 more >>
  • Data Mining - R The main goal of this course is to teach users how to perform data mining tasks using R. Tuition: $399 (5.0 CEUs) New available dates: June 28, 2013 to July 26, 2013January 10, 2014 to February 07, 2014 more >>
  • Introduction to Smoothing and P-spline 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: $399 (5.0 CEUs) New available dates: June 21, 2013 to July 19, 2013 more >>
  • 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: $399 (5.0 CEUs) New available dates: June 14, 2013 to July 12, 2013September 06, 2013 to October 04, 2013 more >>
  • 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: $399 (5.0 CEUs) New available dates: June 14, 2013 to July 12, 2013January 10, 2014 to February 07, 2014 more >>
  • 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: $399 (5.0 CEUs) New available dates: October 25, 2013 to November 22, 2013April 04, 2014 to May 02, 2014 more >>
  • Spatial Analysis Techniques in R This course will teach users how to implement spatial statistical analysis procedures using R software. Tuition: $399 (5.0 CEUs) New available dates: December 13, 2013 to January 17, 2014 more >>
  • 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: $399 (5.0 CEUs) New available dates: October 18, 2013 to November 15, 2013 more >>
  • Survey Analysis in R The purpose of this course is to teach survey researchers who are familiar with R how to use it in survey research. Tuition: $399 (5.0 CEUs) New available dates: March 21, 2014 to April 18, 2014 more >>
  • Wrangling and Munging Data with SQL and R 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: $399 (5.0 CEUs) New available dates: September 27, 2013 to October 25, 2013February 21, 2014 to March 21, 2014 more >>

Earn a Certificate

When To Apply

Applications are accepted and students are enrolled year round on a rolling basis. You pay an application fee and submit it with your application form. You may pay the fee online here, or enclose a check (USD drawn on a US bank) with your application. NOTE: The application is your opportunity to specifically outline your past education and experience, and provide any other information you want us to consider during our review. The value of this background and experience is the ability to place the statistical methods covered in the Program in an appropriate application context. Once we have accepted your application, we will be happy to assist you with more specific questions about PASS.

Admission Criteria

  1. A Bachelor's degree from an accredited college or university.
  2. The successful recent completion of an introductory statistics course equivalent to Statistics.com's introductory courses series,* (please provide proof in your PASS application).

*If you do not meet this requirement, you may still enroll in PASS. Upon review of your application, we will determine whether you need to take Statistics.com's Statistics 1 and 2. If you do require these foundational courses, we will register you for them and waive the entire tuition fee.

Procedure for Enrollment and Matriculation in PASS

  1. Complete and submit the application, your photograph, and the payment of the application fee. Notification of approval is sent usually within one week.
  2. After your application is approved, enroll in the PASS of your choice here and pay the enrollment fee.
  3. If you have NOT already met the introductory statistics requirement, you will be registered for the Institute's of Statistics 1 and 2 courses. Full tuition is waived for matriculated PASS candidates.
  4. After you submit your application and receive approval, pay the enrollment fee, and meet the introductory statistics requirement, you will be matriculated into the program and are considered a PASS candidate. You may now register for classes as a PASS candidate and receive our academic tuition deduction - specify PASS as your academic affiliation during the online registration process.

Rules and Policies

  • Once you are matriculated in PASS, you are considered a student at the Institute for Statistics Education at Statistics.com.
  • You must be a fully-matriculated PASS candidate to be able to register for courses and be eligible to receive the academic tuition deduction provided during online registration.
  • The Program enrollment fee is a required one-time charge in addition to tuition for individual courses.
  • You are expected to complete all the courses in your Program within 5 years of your matriculation into the program. Any exceptions must be approved in writing by the Institute prior to that 5-year deadline.
  • Upon completion of your PASS, you will receive a Certificate and your official transcript.
  • Up to three Institute courses may be taken prior to enrolling in PASS; credit for these courses may be applied to your PASS transcript once you are a matriculated PASS candidate, provided that adequate marks are earned.
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From a Student Profile:

We’re trying to make it easier for patients to get their prosthetic arms to do exactly what they want them to do. I’ve applied what I’ve learned through my statistics.com courses, such as Baysian statistics, computing techniques, biostatistics, clinical trials, analysis and sensitivity software, bioavailability, probability distributions, data mining, and designing experiments to map brain impulses to muscle movement, which ultimately will help make prosthetics work on thought impulses.

Dr. Patricia A. Shewokis
Drexel University

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