Social Science Statistics Certificate Program

This certificate program covers the principal statistical concepts used to design, sample, collect, interpret, and present data as it applies to behaviors of groups of people in their environment and special situations.

Overview

Our Social Science Statistics Certificate provides the skills necessary to gather, analyze, and assess data for activities like making policy decisions, answering cultural questions, studying behavioral changes, and informing business decisions.This ten course program – including six required courses and four electives – cover the principal statistical concepts used to design, sample, collect, interpret, and present data as it applies to behaviors of groups of people in their environment and special situations.

The core curriculum, taught by leading experts in this industry, covers everything from categorical data analysis, designing valid statistical studies to regression analysis and advanced statistics. The program also includes a comprehensive exploration of survey design, sample size determination, and related processes and mixes theory and practical application so you can apply your skills immediately at your current job or leverage them as you seek a new one.

This certificate is considered the equivalent of a Master’s degree program and earns up to 28 course credits in the U.S. academic system which are transferable as college credit – via the American Council on Education – to other institutions in the U.S. See course offerings below.

Who This Certificate Serves

Social statistics and quantitative data analysis are key tools for understanding society and social change and are highly sought after by a majority of businesses today. This program is for you if you need to strengthen your basic statistics skills, or a researcher seeking more expertise in statistics as it applies to social science. Note: If you do not plan to be conducting research studies in your work, contact us about a possible modification of your required program. Related job titles include:

Researcher
Business Analyst
Data Analyst

Statistician
Data Scientist
Marketer

Learning Outcomes

At the completion of the Social Science Statistics Certificate Program you will have learned how gather, analyze, and assess data for activities like making policy decisions, answering cultural questions, studying behavioral changes, and informing business decisions.

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)

Prerequisites

You should be familiar with introductory statistics; if needed we can enroll you in Statistics 1 and Statistics 2 at no charge.

Statistics 1 – Probability and Study Design

This course, the first of a three-course sequence, provides an introduction to statistics for those with little or no prior exposure to basic probability and statistics.

Topic: Statistics, Introductory Statistics | Skill: Introductory | Credit Options: ACE, CAP, CEU
Class Start Dates: Jan 31, 2020

Statistics 2 – Inference and Association

This course, the second of a three-course sequence, will teach you the use of inference and association through a series of practical applications, based on the resampling/simulation approach, and how to test hypotheses, compute confidence intervals regarding proportions or means, computer correlations, and use of simple linear regressions.

Topic: Statistics, Introductory Statistics | Skill: Introductory | Credit Options: ACE, CEU
Class Start Dates: Feb 7, 2020

Required Courses

Categorical Data Analysis

This course will teach you the analysis of contingency table data. 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.

Topic: Statistics, Statistical Modeling | Skill: Intermediate | Credit Options: ACE, CEU
Class Start Dates: Apr 3, 2020, Oct 2, 2020

Designing Valid Statistical Studies

This course will teach you how to design studies to produce statistically valid conclusions. Topics covered in the course include: overview of validity and bias, selection bias, information bias, and confounding bias.

Topic: Statistics, Biostatistics | Skill: Introductory | Credit Options: CEU
Class Start Dates: Feb 14, 2020

Regression Analysis

This course will teach you how multiple linear regression models are derived, assumptions in the models, how to test whether data meets assumptions, and develop strategies for building and understanding useful models.

Topic: Statistics, Statistical Modeling | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Jan 17, 2020, May 8, 2020, Oct 2, 2020

Sample Size and Power Determination

This course will teach 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.

Topic: Statistics, Biostatistics, Statistical Modeling | Skill: Introductory, Intermediate | Credit Options: CEU
Class Start Dates: Apr 10, 2020, Oct 30, 2020

Statistics 3 – ANOVA and Regression

This course, the third of a three-course sequence, provides ananalysis of variance (ANOVA) and multiple linear regression through a series of practical applications.

Topic: Statistics, Introductory Statistics | Skill: Introductory, Intermediate | Credit Options: CEU
Class Start Dates: Jan 17, 2020, Mar 13, 2020

Survey Design and Sampling Procedures

Topic: Statistics, Tests & Surveys | Skill: Introductory | Credit Options: CEU
Class Start Dates: Mar 20, 2020, Aug 7, 2020

Elective Courses

In addition to the required courses for the Social Science Statistics Certificate Program, you must choose four electives from the list below to complete your program:

Structural Equation Modeling (SEM) Using R

This course will teach you how to implement structural equation models (SEM) using R.

Topic: Statistics, Statistical Modeling, Using R | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: May 15, 2020

Introduction to MCMC and Bayesian Regression via rstan

In this course, students learn how to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using R and rstan.

Topic: Statistics, Bayesian | Skill: Intermediate, Advanced | Credit Options: CAP, CEU
Class Start Dates: Apr 17, 2020, Apr 16, 2021, Apr 15, 2022

Survey Analysis

This course will teach you how to analyze data gathered in surveys.

Topic: Statistics, Tests & Surveys | Skill: Introductory | Credit Options: CEU
Class Start Dates: Sep 11, 2020

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.

Topic: Analytics, Prediction/Forecasting | Skill: Intermediate | Credit Options: ACE, CEU
Class Start Dates: Feb 28, 2020, Aug 21, 2020

Rasch Measurement – Core Topics

This course will teach you how Rasch analysis constructs linear measures from scored observations. You will learn the practical aspects of data setup, analysis, output interpretation, fit analysis, differential item functioning, dimensionality and reporting.

Topic: Statistics, Tests & Surveys | Skill: Intermediate | Credit Options: CEU
Class Start Dates: Jan 24, 2020, May 22, 2020, Oct 9, 2020

Rasch Measurement – Further Topics

This course will teach you Rasch theory and its application in the Winsteps software begun in Practical Rasch Measurement-Core Topics. This course introduces exciting new topics and delves into earlier topics more deeply.

Topic: Statistics, Tests & Surveys | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: Jun 26, 2020, Jun 25, 2021

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.

Topic: Statistics, Statistical Modeling | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: May 15, 2020

Introduction to Resampling Methods

The course introduces the basic concepts and methods of resampling methods including bootstrap procedures and permutation with little or no complex theory or confusing notation.

Topic: Statistics, Statistical Modeling | Skill: Introductory, Intermediate | Credit Options: CEU
Class Start Dates: Mar 6, 2020

Introduction to Structural Equation Modeling (SEM)

This course will teach you the fundamental concepts and theory of Structural Equation Modeling, including model specification, model identification, model estimation, model testing, and model modification.

Topic: Statistics, Statistical Modeling | Skill: Intermediate | Credit Options: CEU
Class Start Dates: May 15, 2020, Oct 30, 2020

Logistic Regression

This course will teach you logistic regression ordinary least squares (OLS) methods to model data with binary outcomes rather than directly estimating the value of the outcome, logistic regression allows you to estimate the probability of a success or failure. NOTE: Jan. 10 session is still open – register for a later class and email ourcourses@statistics.com to switch.

Topic: Statistics, Statistical Modeling | Skill: Intermediate | Credit Options: CAP, CEU
Class Start Dates: Jul 17, 2020

Many-Facet Rasch Measurement

This course will teach you the analysis and interpretation of judge-intermediated ratings, like essay grading, Olympic ice-skating, therapist ratings of patient behavior, etc.

Topic: Statistics, Tests & Surveys | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: Aug 7, 2020

Matrix Algebra

This course will teach you 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.

Topic: Statistics, Statistical Modeling | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Mar 27, 2020, Aug 14, 2020

Meta Analysis 1

This course will explain meta analysis and the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.

Topic: Statistics, Biostatistics | Skill: Intermediate | Credit Options: CEU
Class Start Dates: Jul 17, 2020, Nov 6, 2020

Meta Analysis 2

This course will teach you advanced issues in meta-analysis and the statistical analyses that are used to synthesize summary data from a series of studies.

Topic: Statistics, Biostatistics | Skill: Intermediate | Credit Options: CEU
Class Start Dates: Aug 21, 2020, Aug 20, 2021

Mixed and Hierarchical Linear Models

This course will teach you the basic theory of linear and non-linear mixed effects models, hierarchical linear models, algorithms used for estimation, primarily for models involving normally distributed errors, and examples of data analysis.

Topic: Statistics, Statistical Modeling | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: Apr 24, 2020

Modeling Count Data

This course will teach you regression models for count data, models with a response or dependent variable data in the form of a count or rate, Poisson regression, the foundation for modeling counts, and extensions and modifications to the basic model.

Topic: Statistics, Statistical Modeling | Skill: Intermediate, Advanced | Credit Options: CAP, CEU
Class Start Dates: Oct 23, 2020

Multivariate Statistics

This course will teach you key multivariate procedures such as multivariate analysis of variance (MANOVA), principal components, factor analysis, and classification.

Topic: Statistics, Statistical Modeling | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: Jan 31, 2020, Jan 29, 2021

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.

Topic: Statistics, Statistical Modeling | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: Apr 10, 2020

Introduction to Bayesian Computing and Techniques

This course will teach you how to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software.

Topic: Statistics, Bayesian | Skill: Intermediate | Credit Options: CAP, CEU
Class Start Dates: Feb 21, 2020, Aug 21, 2020

Introduction to Bayesian Hierarchical and Multi-level Models

This course will teach you how to extend the Bayesian modeling framework to cover hierarchical models and to add flexibility to standard Bayesian modeling problems.

Topic: Statistics, Bayesian | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: May 15, 2020

Introduction to Network Analysis

This course will teach you a mix of quantitative and qualitative methods for describing, measuring, and analyzing social networks.

Topic: Analytics, Data Exploration | Skill: Introductory, Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Feb 21, 2020

Analysis of Survey Data from Complex Sample Designs

This course will teach you how to estimate variances for complex surveys and how to model the results using linear and logistic regression and other generalized linear models.

Topic: Statistics, Tests & Surveys | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: Aug 21, 2020, Oct 9, 2020

Bootstrap Methods

This course will teach you the basic theory and application of the bootstrap family of procedures with the emphasis on applications.

Topic: Statistics, Statistical Modeling | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: Sep 11, 2020, Sep 10, 2021

Course Calendar

You can get started with any of these courses:

Regression Analysis
Designing Valid Statistical Studies
Sample Size and Power Determination
Statistics 3
Survey Design and Sampling Procedures

Try it out: take one of the courses, then apply it retroactively to your certificate program after you enroll.

Regression Analysis	(4-week class)	Jan 17, 2020
Statistics 3 - ANOVA and Regression	(3-week class)	Jan 17, 2020
Designing Valid Statistical Studies	(4-week class)	Feb 14, 2020
Statistics 3 - ANOVA and Regression	(3-week class)	Mar 13, 2020
Survey Design and Sampling Procedures	(4-week class)	Mar 20, 2020
Categorical Data Analysis	(4-week class)	Apr 3, 2020
Sample Size and Power Determination	(4-week class)	Apr 10, 2020
Regression Analysis	(4-week class)	May 8, 2020
Survey Design and Sampling Procedures	(4-week class)	Aug 7, 2020
Categorical Data Analysis	(4-week class)	Oct 2, 2020

What Our Students Say

One of the best classes I've taken with Statistics.com

Katie Healey

Ecofish Research Ltd

This is my fourth course that I have taken at Statistics.com and I am very satisfied with the level and quality of instruction. I will continue to look for: courses that I can take whenever possible.

Herman Chavarria

Kinetic Concepts Inc.

Tuition and Fees

Our Social Science Statistics Certificate Program – the equivalent of a Mastery Degree –is a fraction of the cost of what you would pay at a University. The workload is equal to 28 credits in the U. S. academic system which are transferable via the American Council on Education. Choose to pay as you go, or get a discount for paying in full today.

Pay As You Go

$5,742

Pay In Advance

$5,000

Frequently Asked Questions

Are there admission requirements?

You should have recently had introductory statistics, equivalent to our Statistics 1 and Statistics 2 courses. If you haven’t, or if you’d like to go over that basic material again as a refresher course, we’ll put enroll in Statistics 1 and Statistics 2 at no charge once we accept your application.

Please see our knowledge center for more information.

Can I apply courses I have already taken?

We will transfer up to three courses to your program, provided you received adequate grades on your courses.

Is there an application deadline for the certificate program?

Applications are accepted year-round on a rolling basis and courses begin every month.

Are the certificate programs accredited?

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

In addition, many of the courses at The Institute for Statistics Education have been recommended for credit by The American Council on Education (ACE), INFORMS, and can be used as CEUs in many programs.

The American Council on Education (ACE) approved credit for many of the required courses for our certificate programs and can be transferred to another educational institution that accepts ACE credit.

How long do I have to complete the 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 three (3) years to complete the certificate.

Please see our knowledge center for more information.

Visit our knowledge base and learn more.

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Valerie Troiano

Certificate Enrollment

Phone

+1 (571) 281-8817

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M-F: 9:00 AM to 5:30 PM USA EST

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Additional Series Information

Organization of Program

The Certificate program includes are all standard Statistics.com courses – small classes, regular interaction with your instructor throughout the course, rapid expert feedback on your homework and projects. You can register for the courses individually, and even incorporate courses that you have recently successfully completed.

Time Requirements

There are 10 courses, each are 4 weeks long. You may build your own course calendar to meet your individual requirements. The certificate program can be completed in less than a year.

Course Fee & Information

The fee for the Social Science Statistics Certificate program if you pay in full is only $5,000. This includes the program registration fee, and individual course fees. It reflects considerable savings that are available if you pay the program cost upon enrollment. Note: all tuition held on account must be used within two (2) years from date of purchase.

You also have the option to pay on a course-by-course basis with our pay as you go model estimated fee of $5,873. You will need to pay the registration fee to enroll which is $495. The “pay-as-you-go” estimate includes the registration fee, individual course fees (required: $3,313 and estimated electives:$1446) that you pay as you progress through the program, as well as various tuition savings available to you once you are a matriculated certificate candidate at the Institute. The actual total cost of the program may vary slightly depending on several factors and may differ slightly from the estimate above; fees are subject to change without prior notice.

Options for Credit and Recognition

Our Social Science Statistics Certificate program – the equivalent of a Mastery Degree – is the equal to 28 credits in the U. S. academic system which are transferable via the American Council on Education. More details on ACE and accreditation can be found here.

Miscellaneous

Visit our knowledge base to learn more about our Certificate programs.