Social Science Statistics

Online Certificate Program

10 courses, 4 weeks each
$5,000

Social Science Certificate Program

Program Content

The Social Science Certificate Program consists of ten 4-week courses offered completely online at Statistics.com. There is a small group of required topics, plus a number of electives.  (Note:  If you do not plan to be conducting research studies in your work, contact us about a possible modification of your required program.)  At the completion of the program you will have learned how to:

  • The design and analysis principles for research studies
  • The fundamental concepts behind statistical modeling
  • How to fit linear and logistic regression models, interpret output, and conduct diagnostics
  • Appropriate designs and sampling plans for surveys
  • How to determine sample size for a study, and how to calculate power
  • Techniques for analyzing categorical data (electives)
  • Bayesian methods for analyzing data (electives)

Compare Statistics.com certificates to university graduate programs, MOOC's, bootcamps...

 

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In this certificate program, there are '6' required courses + you choose '4' electives

 
 
FULL PROGRAM LIST

Required Courses (6)

  • Categorical Data Analysis
    This course will cover the analysis of contingency table data (tabular data in which the cell entries represent counts of subjects or items falling into certain categories). Topics include tests for independence (comparing proportions as well as chi-square), exact methods, and treatment of ordered data. Both 2-way and 3-way tables are covered. Tuition: $499 (5.0 CEUs) Next three dates:
    April 05, 2019 to May 03, 2019October 04, 2019 to November 01, 2019April 03, 2020 to May 01, 2020October 02, 2020 to October 30, 2020
    show more dates >> Learn more and register >>
  • Designing Valid Statistical Studies
    This course covers the issues you need to address in designing studies to produce statistically valid conclusions.  Topics covered in the course include: overview of validity and bias, selection bias, information bias, and confounding bias. Tuition: $469 (5.0 CEUs) Next three dates:
    February 15, 2019 to March 15, 2019July 05, 2019 to August 02, 2019February 14, 2020 to March 13, 2020
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  • 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) Next three dates:
    January 18, 2019 to February 15, 2019May 10, 2019 to June 07, 2019October 04, 2019 to November 01, 2019January 17, 2020 to February 14, 2020May 08, 2020 to June 05, 2020October 02, 2020 to October 30, 2020
    show more dates >> Learn more and register >>
  • Sample Size and Power Determination
    This course shows you how to make sample size determinations for various statistical tests and for confidence intervals, as needed for experimental studies such as comparison studies, as well as for other types of experiments. Tuition: $509 (5.0 CEUs) Next three dates:
    April 12, 2019 to May 10, 2019November 15, 2019 to December 13, 2019April 10, 2020 to May 08, 2020November 13, 2020 to December 11, 2020
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  • Statistics 3 – ANOVA and Regression
    This course provides an easy introduction to ANOVA and multiple linear regression through a series of practical applications. Tuition: $299 (3.75 CEUs) Next three dates:
    March 15, 2019 to April 05, 2019May 10, 2019 to May 31, 2019July 12, 2019 to August 02, 2019September 13, 2019 to October 04, 2019November 15, 2019 to December 06, 2019
    show more dates >> Learn more and register >>
  • 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: $499 (5.0 CEUs) Next three dates:
    March 15, 2019 to April 12, 2019August 09, 2019 to September 06, 2019March 13, 2020 to April 10, 2020August 07, 2020 to September 04, 2020
    show more dates >> Learn more and register >>

Elective Courses (4 required)

  • Advanced Structural Equation Modeling
    This course covers many popular advanced SEM models with practical exercises. Models covered include Multiple Indicator and Multiple Causes models (MIMIC), Multiple Group models, Multilevel (HLM) models, Mixture models, Structured Means models, Multitrait-Multimethod models, Second Order Factor models, Interaction models, and Dynamic Factor models. Tuition: $499 (5.0 CEUs) Next three dates:
    January 18, 2019 to February 15, 2019January 17, 2020 to February 14, 2020
    show more dates >> Learn more and register >>
  • 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: $499 (5.0 CEUs) Next three dates:
    October 11, 2019 to November 08, 2019August 21, 2020 to September 18, 2020October 09, 2020 to November 06, 2020
    show more dates >> Learn more and register >>
  • 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: $499 (5.0 CEUs) Next three dates:
    April 19, 2019 to May 17, 2019April 17, 2020 to May 15, 2020
    show more dates >> Learn more and register >>
  • 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: $499 (5.0 CEUs) Next three dates:
    March 22, 2019 to April 19, 2019September 20, 2019 to October 18, 2019March 20, 2020 to April 17, 2020
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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: $499 (5.0 CEUs) Next three dates:
    September 13, 2019 to October 11, 2019September 11, 2020 to October 09, 2020
    show more dates >> Learn more and register >>
  • Generalized Linear Models
    This course will explain the theory of generalized linear models (GLM), outline the algorithms used for GLM estimation, and explain how to determine which algorithm to use for a given data analysis. GLM allows the modeling of responses, or dependent variables, that take the form of counts, proportions, dichotomies (1/0), positive continuous values, as well as values that follow the normal Gaussian distribution. Logistic, Poisson, and negative binomial regression models are three of the most noteworthy GLM family members. Note:  Detailed study of model specification and the interpretation of software output is handled in statistics.com's individual courses on regression, logistic regression, count data modeling, etc. Tuition: $499 (5.0 CEUs) Next three dates:
    April 12, 2019 to May 10, 2019April 10, 2020 to May 08, 2020
    show more dates >> Learn more and register >>
  • 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: $499 (5.0 CEUs) Next three dates:
    February 22, 2019 to March 22, 2019August 23, 2019 to September 20, 2019February 21, 2020 to March 20, 2020
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  • 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: $499 (5.0 CEUs) Next three dates:
    May 17, 2019 to June 14, 2019May 15, 2020 to June 12, 2020
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  • 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: $499 (5.0 CEUs) Next three dates:
    January 11, 2019 to February 08, 2019July 05, 2019 to August 02, 2019January 10, 2020 to February 07, 2020July 03, 2020 to July 31, 2020
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  • Introduction to Item Response Theory (IRT)
    Introduction to the statistical basis for analyzing multiple-choice survey or test data - item response theory (IRT). Tuition: $499 (5.0 CEUs) Next three dates:
    February 15, 2019 to March 15, 2019August 16, 2019 to September 13, 2019February 14, 2020 to March 13, 2020
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  • Introduction to Network Analysis
    This course will teach a mix of quantitative and qualitative methods for describing, measuring and analyzing social networks. Tuition: $469 (5.0 CEUs) Next three dates:
    February 22, 2019 to March 22, 2019August 09, 2019 to September 06, 2019February 21, 2020 to March 20, 2020
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  • Introduction to Resampling Methods
    The course introduces the basic concepts and methods of resampling methods, including bootstrap procedures and permutation (randomization) tests, with little or no complex theory or confusing notation. Tuition: $389 (3.75 CEUs) Next three dates:
    March 08, 2019 to April 05, 2019March 06, 2020 to March 20, 2020
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  • Introduction to Structural Equation Modeling (SEM)
    This course covers the fundamental concepts and theory of Structural Equation Modeling:  model specification, model identification, model estimation, model testing, and model modification.  Reading assignments, examples and exercises are included using the LISREL software package. Tuition: $499 (5.0 CEUs) Next three dates:
    May 10, 2019 to June 07, 2019November 01, 2019 to November 29, 2019May 15, 2020 to June 12, 2020October 30, 2020 to November 27, 2020
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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: $509 (5.0 CEUs) Next three dates:
    March 08, 2019 to April 05, 2019July 19, 2019 to August 16, 2019March 06, 2020 to April 03, 2020July 17, 2020 to August 14, 2020
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  • Many-Facet Rasch Measurement
    This course will cover the analysis and interpretation of judge-intermediated ratings, like essay grading, Olympic ice-skating, therapist ratings of patient behavior, etc. Tuition: $499 (5.0 CEUs) Next three dates:
    August 09, 2019 to September 06, 2019August 07, 2020 to September 04, 2020
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  • 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) Next three dates:
    March 29, 2019 to April 26, 2019August 16, 2019 to September 13, 2019March 27, 2020 to April 24, 2020August 14, 2020 to September 11, 2020
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  • Maximum Likelihood Estimation
    This course will cover the derivation of maximum likelihood estimates, and their properties. Tuition: $249 (2.5 CEUs) Next three dates:
    April 19, 2019 to May 03, 2019November 22, 2019 to December 06, 2019April 17, 2020 to May 01, 2020
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  • Meta Analysis
    This course will explain meta analysis - the methods that are used to assess multiple statistical studies on the same subject and draw conclusions. Dr. Rothstein will be the primary discussion leader for this course. Tuition: $509 (5.0 CEUs) Next three dates:
    July 19, 2019 to August 16, 2019November 15, 2019 to December 13, 2019July 17, 2020 to August 14, 2020November 13, 2020 to December 11, 2020
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  • Meta Analysis 2
    Meta-Analysis refers to the statistical analyses that are used to synthesize summary data from a series of studies.  This course covers some advanced issues in meta-analysis.  Participants should have completed the basic course in meta-analysis or an equivalent. Tuition: $499 (5.0 CEUs) Next three dates:
    August 23, 2019 to September 20, 2019August 21, 2020 to September 18, 2020August 20, 2021 to September 17, 2021
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  • Mixed and Hierarchical Linear Models
    This course will explain the basic theory of linear and non-linear mixed effects models, including hierarchical linear models. It will outline the algorithms used for estimation, primarily for models involving normally distributed errors, and will provide examples of data analysis. The course aims at providing a basic understanding and knowledge of the mixed effect models that will allow you to use them in practice. Tuition: $499 (5.0 CEUs) Next three dates:
    April 26, 2019 to May 24, 2019April 24, 2020 to May 22, 2020
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  • Modeling Count Data
    This course deals with regression models for count data; i.e. models with a response or dependent variable data in the form of a count or rate. The course will cover Poisson regression, the foundation for modeling counts, as well as extensions and modifications to the basic model. Tuition: $499 (5.0 CEUs) Next three dates:
    October 25, 2019 to November 22, 2019October 23, 2020 to November 20, 2020
    show more dates >> Learn more and register >>
  • Multivariate Statistics
    This course covers key multivariate procedures such as multivariate analysis of variance (MANOVA), principal components, factor analysis and classification. Tuition: $499 (5.0 CEUs) Next three dates:
    February 01, 2019 to March 01, 2019July 05, 2019 to August 02, 2019January 31, 2020 to February 28, 2020
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  • Persuasion Analytics and Targeting
    This course will teach you how to apply predictive modeling methods to identify persuadable individuals, and to target voters in political campaigns. Tuition: $499 (5.0 CEUs) Next three dates:
    March 01, 2019 to March 29, 2019August 23, 2019 to September 20, 2019February 28, 2020 to March 27, 2020August 21, 2020 to September 18, 2020
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  • Practical Rasch Measurement - Core Topics
    Rasch analysis constructs linear measures from scored observations, such as responses to multiple-choice questions, Likert scales and quality-of-life assessments. This course covers the practical aspects of data setup, analysis, output interpretation, fit analysis, differential item functioning, dimensionality and reporting. Tuition: $499 (5.0 CEUs) Next three dates:
    January 25, 2019 to February 22, 2019May 24, 2019 to June 21, 2019October 11, 2019 to November 08, 2019January 24, 2020 to February 21, 2020May 22, 2020 to June 19, 2020October 09, 2020 to November 06, 2020
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  • Practical Rasch Measurement - Further Topics
    Continues the exploration of Rasch theory and its application in the Winsteps software begun in Practical Rasch Measurement-Core Topics. The visual step-by-step tutorial propels you along the road to success. This course introduces exciting new topics and delves into earlier topics more deeply. Tuition: $499 (5.0 CEUs) Next three dates:
    June 28, 2019 to July 26, 2019June 26, 2020 to July 24, 2020June 25, 2021 to July 23, 2021
    show more dates >> Learn more and register >>
  • Principal Components and Factor Analysis
    In this course, you will learn how to make decisions in building a factor analysis model - including what model to use, the number of factors to retain, and the rotation method to use. Tuition: $499 (5.0 CEUs) Next three dates:
    May 17, 2019 to June 14, 2019May 15, 2020 to June 12, 2020
    show more dates >> Learn more and register >>
  • Survey Analysis
    This course covers the analysis of data gathered in surveys. Tuition: $499 (5.0 CEUs) Next three dates:
    September 13, 2019 to October 11, 2019September 11, 2020 to October 09, 2020
    show more dates >> Learn more and register >>

Tuition and Fees:  $5000  

The above estimate includes the program registration fee, and individual course fees.  It reflects considerable savings that are available if you pay the program cost upon enrollment.  You also have the option to pay on a course-by-course basis:

  • Pay for your program upon enrollment:  $5000
  • Pay as you go: $5,788

 

Detailed Fees Description

Is there an application deadline?

No - applications are accepted and students are enrolled year round on a rolling basis. See the timeline tool in the "Program" tab to see the recommended sequence of courses starting in any given month.

 

Are there admission requirements?

We'd like you to have a Bachelor's degree from an accredited college or university.

Also, you should have recently had introductory statistics, equivalent to Statistics.com's Statistics 1 and Statistics 2 . If you haven't, or if you'd like to go over that ground again, no worries. We'll put you in Statistics 1 and 2 at no charge once we accept your application! Statistics 1 starts at the beginning of each month.

 

What are the fees?

The enrollment fee is $495, which includes free enrollment in Statistics.com's Statistics 1 and Statistics 2 courses if needed. Once you are enrolled, you pay course tuition fees "as you go," at the discounted academic rate.

 

Is there any particular way I should schedule my courses?

Not really, no.  Scheduling is quite flexible with various courses offered all throughout the year and a class format that does not require you to be online at any specific times.  Most PASS students choose to take one course at a time, but we encourage you to plan your program in a way that fits your schedule and helps you personally learn best.

 

Can I get credit for courses I have already taken at Statistics.com?

Yes. You can apply up to three prior courses to your program, provided you got adequate marks.

 

If I have already mastered a topic from my work or prior academic experience, do I need to repeat it?

No. We do not want to waste your time. Just share with us how you covered the topic and we'll swap out that course for something else.

 

The courses in the PASS programs don't exactly match what I need. Can I craft a custom program?

Maybe. Contact us so we can review what you want to do, and work together to create a program that makes sense. A customization fee is charged.

 

How long do I have to complete the PASS certificate?

If you take one course at a time, most programs can be completed in 12-15 months.  We know that sometimes life takes unexpected turns, so you have 3 years to complete the certificate.

 

Are the certificate programs accredited?

  • The American Council on Education (ACE) has recommended academic credit for all the required courses in the Analytics for Data Science Certificate Program, so they can be easily transfered to another educational institution that accepts ACE CREDIT.
  • The Institute for Operations Research and the Management Sciences (INFORMS) chose Statistics.com as a Recognized Analytics Education Provider that supports the Certified Analytics Professional (CAP®) program.
  • Each course has C.E.U.'s granted, based on the length of the course.  (Typically 5.0 CEUs for 4 week courses.)
  • The Institute for Statistics Education itself is not an accredited academic institution, but is

    certified to operate by the State Council of Higher Education for Virginia (SCHEV).

Still have questions?

Contact the registrar (ourcourses [at] statistics.com) and we'll try to answer them as well as possible.

 

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