PASS

Programs in Analytics and Statistical Studies

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

Data Analytics

The Institute offers 100+ courses in statistics and analytics; this particular certificate program focuses on those courses relevant for the study of topics in data analytics (data mining, predictive modeling, forecasting and more).  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: $2938
Estimated Material Cost: $980
Estimated Total Cost: $6882

Data Analytics

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. Students may select a concentration strand (see below) to guide their choice of electives.

Concentration Strands (optional) and Electives

The program offers a set of core courses that are required, as well as a set of electives from which you can choose those of interest. 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.

  • Predictive Analytics and Data Mining: We suggest Data Mining - Unsupervised Learning, then choosing among Decision Trees, Cluster Analysis, Data Mining in R, or Data Munging.
  • Risk Assessment and Forecasting: We suggest Financial Risk Modeling and Introduction to Quantitative Risk Management or Risk Simulation and Queuing.
  • Market Research and Consumer Behavior: We suggest Survey Design, Survey Analysis, Multivariate Statistics, Cluster Analysis, and Discrete Choice Modeling and Conjoint Analysis
  • Reliability Statistics: We suggest Design of Experiments, Engineering Statistics, Statistical Process Control, Probability Distributions
  • Optimization: We suggest Optimization (Advanced), Risk Simulation and Queuing*
  • Text Analytics: We suggest Natural Language Processing and Sentiment Analysis

*Risk Simulation and Queuing may be substituted for the required course Quantitative Risk Analysis.

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)

  • Forecasting Analytics This course will teach you how to choose an appropriate time series model, fit the model, to conduct diagnostics, and use the model for forecasting.
    Tuition: $399 (5.0 CEUs) New available dates: September 13, 2013 to October 11, 2013 more >>
  • Interactive Data Visualization This course covers the principles of the visual display of data, both for presentation and analysis. Tuition: $399 (5.0 CEUs) New available dates: October 25, 2013 to November 22, 2013 more >>
  • Introduction to Predictive Modeling This course covers the two core paradigms that account for most business applications of predictive modeling: classification and prediction. The course includes hands-on work with XLMiner, a data-mining add-in for Excel. Tuition: $399 (5.0 CEUs) New available dates: September 06, 2013 to October 04, 2013April 04, 2014 to May 02, 2014September 05, 2014 to October 03, 2014 more >>
  • Introduction to Quantitative Risk Analysis This course will cover the most important principles, techniques and tools used in modeling in Quantitative Risk Analysis. Tuition: $399 (5.0 CEUs) New available dates: September 20, 2013 to October 18, 2013April 11, 2014 to May 09, 2014September 12, 2014 to October 10, 2014 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 >>
  • Regression Analysis In this course you will learn how multiple linear regression models are derived, use software to implement them, learn what assumptions underlie the models, learn how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models. Tuition: $399 (5.0 CEUs) New available dates: May 17, 2013 to June 14, 2013October 04, 2013 to November 01, 2013January 24, 2014 to February 21, 2014May 16, 2014 to June 13, 2014October 03, 2014 to October 31, 2014 more >>

Elective Courses (8 required)

  • Advanced Optimization This course covers a number of advanced topics in optimization.  You will learn: 1) how to formulate and solve network flow problems, 2) how to model and solve optimization problems where some or all of the decision variables must be integers, 3) how to deal with multiple objectives in optimization problems, and 4) techniques for handling optimization problems where the objective function or constraints are not linear functions of the decision variables.
    Tuition: $399 (5.0 CEUs) New available dates: September 27, 2013 to October 25, 2013September 26, 2014 to October 24, 2014 more >>
  • Analysis of Survey Data from Complex Sample Designs This course teaches you how to estimate variances for complex surveys, and also how to model the results using linear and logistic regression, and other generalized linear models. Tuition: $399 (5.0 CEUs) New available dates: October 11, 2013 to November 08, 2013October 10, 2014 to November 07, 2014 more >>
  • Bayesian Regression Modeling via MCMC Techniques This course covers the application of Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software. Tuition: $399 (5.0 CEUs) New available dates: November 15, 2013 to December 13, 2013 more >>
  • Bayesian Statistics in R Tuition: (5.0 CEUs) New available dates: To be scheduled. more >>
  • Cluster Analysis This course will teach you how to use various cluster analysis methods to identify possible clusters in multivariate data. Methods discussed include hierarchical clustering, k-means clustering, two-step clustering, and normal mixture models for continuous variables. Tuition: $399 (5.0 CEUs) New available dates: November 01, 2013 to November 29, 2013October 31, 2014 to November 28, 2014 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 >>
  • Data Mining Mistakes and How to Avoid Them The very nature of data mining makes it prone to error.  This course reviews and illustrates the typical sources of error, and how to avoid them. Tuition: $179 New available dates: October 11, 2013 to October 25, 2013October 10, 2014 to October 24, 2014 more >>
  • Data Mining: Unsupervised Techniques This course covers key unsupervised learning techniques - association rules, principal components analysis, and clustering. The course will include an integration of supervised and unsupervised learning techniques. Tuition: $399 (5.0 CEUs) New available dates: October 11, 2013 to November 08, 2013October 10, 2014 to November 07, 2014 more >>
  • Decision Trees and Rule-Based Segmentation Rule induction is an important component of data mining, and this course covers two main styles of generating rules. Tuition: $399 (5.0 CEUs) New available dates: January 17, 2014 to February 14, 2014 more >>
  • Discrete Choice Modeling and Conjoint Analysis After taking this course, participants will be able to design appropriate conjoint and choice studies, using surveys, panels, and designed experiments. They will also be able to analyze and interpret the resulting data. Tuition: $399 (5.0 CEUs) New available dates: April 11, 2014 to May 09, 2014 more >>
  • Financial Risk Modeling This course teaches participants how to model financial events that have uncertainties associated with them. Tuition: $399 (5.0 CEUs) New available dates: May 17, 2013 to June 14, 2013May 16, 2014 to June 13, 2014 more >>
  • Introduction to Bayesian Computing and Techniques Participants in this course will learn why Bayesian computing has gained wide popularity, and how to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software. Tuition: $399 (5.0 CEUs) New available dates: September 20, 2013 to October 18, 2013 more >>
  • Introduction to Bayesian Hierarchical and Multi-level Models This course extends the Bayesian modeling framework to cover hierarchical models, and to add flexibility to standard Bayesian modeling problems.
    Tuition: $399 (5.0 CEUs) New available dates: June 21, 2013 to July 19, 2013June 20, 2014 to July 18, 2014 more >>
  • Introduction to Bayesian Statistics This course will introduce you to the basic ideas of Bayesian Statistics. You will learn how to perform Bayesian analysis for a binomial proportion, a normal mean, the difference between normal means, the difference between proportions, and for a simple linear regression model. Tuition: $399 (5.0 CEUs) New available dates: July 05, 2013 to August 02, 2013January 31, 2014 to February 28, 2014 more >>
  • Introduction to Design of Experiments This course will stress the application of DOE rather than statistical theory. With a 12-step checklist, it covers full and fractional factorial designs, Plackett-Burman, Box-Behnken, Box-Wilson and Taguchi designs. Tuition: $399 (5.0 CEUs) New available dates: February 14, 2014 to March 14, 2014February 13, 2015 to March 13, 2015 more >>
  • Introduction to Optimization The course introduces the use of mathematical models for managerial decision making and covers how to formulate linear programming models for decision problems where multiple decisions need to be made in the best possible way while simultaneously satisfying a number of logical conditions (or constraints). You will learn how to use spreadsheet software to implement and solve these linear programming problems.
    Tuition: $399 (5.0 CEUs) New available dates: August 23, 2013 to September 20, 2013August 22, 2014 to September 19, 2014 more >>
  • Introduction to Social Network Analysis (SNA) Tuition: (5.0 CEUs) New available dates: August 16, 2013 to September 13, 2013 more >>
  • Introduction to Statistical Modeling This course provides a solid introduction to the ideas and techniques of statistical modeling. Tuition: $399 (5.0 CEUs) New available dates: January 03, 2014 to January 31, 2014 more >>
  • Matrix Algebra Review This course will provide the basics of vector and matrix algebra and operations necessary to understand multivariate statistical methods, including the notions of the matrix inverse, generalized inverse and eigenvalues and eigenvectors. After successfully completing this course, you will be able to use and understand vector and matrix operations and equations, find and use a matrix inverse, and use and understand the eigenset of a symmetric matrix. Tuition: $399 (5.0 CEUs) New available dates: June 28, 2013 to July 26, 2013November 01, 2013 to November 29, 2013March 21, 2014 to April 18, 2014 more >>
  • Natural Language Processing This course is designed to give you an introduction to the algorithms, techniques and software used in natural language processing (NLP). Tuition: $399 (5.0 CEUs) New available dates: July 19, 2013 to August 16, 2013July 18, 2014 to August 15, 2014 more >>
  • Prediction & Tolerance Intervals; Measurement and Reliability The topics covered in this course include prediction intervals, tolerance intervals, calibration intervals, measurement error, accelerated life testing, measurement system appraisal, reliability and lifetime testing. Tuition: $399 (5.0 CEUs) New available dates: May 24, 2013 to June 21, 2013May 23, 2014 to June 20, 2014 more >>
  • Probability Distributions This course cover statistical probability distributions. Participants will learn how to identify which distribution(s) reasonably fit given data, and to evaluate the fit. Tuition: $399 (5.0 CEUs) New available dates: June 21, 2013 to July 19, 2013 more >>
  • Risk Simulation and Queuing This course covers modeling technique making decisions in the presence of risk or uncertainty.  Specific topics include risk analysis using Monte Carlo simulation for risk simulation, queuing theory for problems involving waiting lines, and decision trees for analyzing problems with multiple discrete decision alternatives.

    Tuition: $399 (5.0 CEUs) New available dates: November 22, 2013 to December 20, 2013November 21, 2014 to December 19, 2014 more >>
  • Sentiment Analysis Sentiment Analysis refers to the process of identifying, extracting and classifying opinions in text segments. With the rise of social media and the ability of end-users to express and share their personal views easily, the need to automatically gauge user-sentiment has become increasingly important for CRM, online advertising and brand analysis. Tuition: $339 (3.75 CEUs) New available dates: August 30, 2013 to September 20, 2013August 29, 2014 to September 26, 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 >>
  • Spatial Statistics with Geographic Information Systems Spatial statistical analysis uses methods adapted from conventional statistics to address problems in which spatial location is the most important explanatory variable. This course will explain and give examples of the analysis that can be conducted in a geographic information system such as ArcGIS or Mapinfo. Tuition: $399 (5.0 CEUs) New available dates: November 08, 2013 to December 06, 2013 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 >>
  • Statistical Process Control This course will will go beyond the basics of SPC and present some improved control chart methods, with better ways of determining control limits. Tuition: $399 (5.0 CEUs) New available dates: To be scheduled. more >>
  • Survey Analysis This course covers the analysis of data gathered in surveys. Tuition: $399 (5.0 CEUs) New available dates: August 16, 2013 to September 13, 2013August 15, 2014 to September 12, 2014 more >>
  • Survey Design and Sampling Procedures This course covers the crafting of survey questions, the design of surveys, and different sampling procedures that are used in practice. Longstanding basic principles of survey design are covered, and the impact of the trend toward increased respondent resistance is discussed. Tuition: $399 (5.0 CEUs) New available dates: July 12, 2013 to August 09, 2013July 11, 2014 to December 31, 1969 more >>
  • Survival Analysis The course describes the various methods used for modeling and evaluating survival data, or time-to event data. Tuition: $399 (5.0 CEUs) New available dates: September 20, 2013 to October 18, 2013March 14, 2014 to April 11, 2014 more >>
  • Text Mining This course will introduce the essential techniques of text mining, understood here as the extension of data mining's standard predictive methods to unstructured text. Tuition: $399 (5.0 CEUs) New available dates: June 07, 2013 to July 05, 2013June 06, 2014 to July 04, 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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