PASS

Programs in Analytics and Statistical Studies

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

Data Analytics (legacy)

This program is not longer being offered.  Please see Analytics for Data Science or Programming for Data Science.

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.

 

Data Analytics (legacy)

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.  This PASS is no longer being offered, although those originally in this program may continue with it or choose to transfer to the Analytics for Data Science or Programming for Data Science program.

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 SQL and R - Introduction to Database Queries.
  • 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 (7)

  • 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: $499 (5.0 CEUs) New available dates: September 12, 2014 to October 10, 2014 more >>
  • Interactive Data Visualization This course covers the principles of the visual display of data, both for presentation and analysis. Tuition: $499 (5.0 CEUs) New available dates: April 25, 2014 to May 23, 2014October 31, 2014 to November 28, 2014October 30, 2015 to November 27, 2015 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: $549 (5.0 CEUs) New available dates: September 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: $549 (5.0 CEUs) New available dates: June 13, 2014 to July 11, 2014September 05, 2014 to October 03, 2014 more >>
  • Predictive Analytics 1 - Machine Learning Tools 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: $469 (5.0 CEUs) New available dates: July 18, 2014 to August 15, 2014 more >>
  • Predictive Analytics 2 - Neural Nets and Regression 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: $469 (5.0 CEUs) New available dates: August 22, 2014 to September 19, 2014 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: $499 (5.0 CEUs) New available dates: May 16, 2014 to June 13, 2014October 03, 2014 to October 31, 2014January 23, 2015 to February 20, 2015 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: $549 (5.0 CEUs) New available dates: September 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: $549 (5.0 CEUs) New available dates: October 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: $549 (5.0 CEUs) New available dates: April 25, 2014 to May 23, 2014October 24, 2014 to November 21, 2014April 24, 2015 to May 22, 2015October 23, 2015 to November 20, 2015 more >>
  • 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 26, 2014 to October 24, 2014 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: $549 (5.0 CEUs) New available dates: October 31, 2014 to November 28, 2014October 30, 2015 to November 27, 2015 more >>
  • 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: June 27, 2014 to July 25, 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: $499 (5.0 CEUs) New available dates: October 17, 2014 to November 14, 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: $549 (5.0 CEUs) New available dates: January 16, 2015 to February 13, 2015January 15, 2016 to February 12, 2016 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: $549 (5.0 CEUs) New available dates: To be scheduled. more >>
  • Financial Risk Modeling This course teaches participants how to model financial events that have uncertainties associated with them. Tuition: $549 (5.0 CEUs) New available dates: May 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: $549 (5.0 CEUs) New available dates: August 29, 2014 to September 26, 2014 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: $549 (5.0 CEUs) New available dates: May 23, 2014 to June 20, 2014November 21, 2014 to December 19, 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: $549 (5.0 CEUs) New available dates: July 04, 2014 to August 01, 2014January 30, 2015 to February 27, 2015 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: $549 (5.0 CEUs) New available dates: February 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: $549 (5.0 CEUs) New available dates: August 22, 2014 to September 19, 2014January 09, 2015 to February 06, 2015August 21, 2015 to September 18, 2015 more >>
  • Introduction to Social Network Analysis (SNA) This course will teach a mix of quantitative and qualitative methods for describing, measuring and analyzing social networks. Tuition: $469 (5.0 CEUs) New available dates: August 15, 2014 to September 12, 2014 more >>
  • Introduction to Statistical Modeling This course provides a solid introduction to the ideas and techniques of statistical modeling. Tuition: $469 (5.0 CEUs) New available dates: June 13, 2014 to July 11, 2014January 02, 2015 to January 30, 2015 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: $469 (5.0 CEUs) New available dates: June 27, 2014 to July 25, 2014November 14, 2014 to December 12, 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: $469 (5.0 CEUs) New available dates: July 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: $549 (5.0 CEUs) New available dates: May 30, 2014 to June 27, 2014May 29, 2015 to June 26, 2015 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: $549 (5.0 CEUs) New available dates: June 20, 2014 to July 18, 2014January 23, 2015 to February 20, 2015June 19, 2015 to July 17, 2015 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: $549 (5.0 CEUs) New available dates: November 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: $389 (3.75 CEUs) New available dates: August 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: $549 (5.0 CEUs) New available dates: December 12, 2014 to January 02, 2015 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: $549 (5.0 CEUs) New available dates: May 09, 2014 to June 06, 2014November 07, 2014 to December 05, 2014 more >>
  • 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 01, 2014 to August 29, 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: $549 (5.0 CEUs) New available dates: To be scheduled. 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: $469 (5.0 CEUs) New available dates: To be scheduled. more >>
  • Survey Analysis This course covers the analysis of data gathered in surveys. Tuition: $549 (5.0 CEUs) New available dates: August 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: $469 (5.0 CEUs) New available dates: July 11, 2014 to August 08, 2014July 10, 2015 to August 07, 2015 more >>
  • Survival Analysis The course describes the various methods used for modeling and evaluating survival data, or time-to event data. Tuition: $549 (5.0 CEUs) New available dates: September 19, 2014 to October 17, 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: $469 (5.0 CEUs) New available dates: June 06, 2014 to July 04, 2014 more >>

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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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