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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.
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  • Overview
  • Learning Outcomes
  • Prerequisites
  • Courses
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Home Certificates Social Science Statistics Certificate Program

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.

10-Course Certificate Program
ACE + CAP Credit Eligible
ACE + CAP Credit Eligible
Online Course
Flexible Schedule
Teacher Assistant Support
Expert Instructors
SCHEV Certification

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 are a researcher seeking more expertise in statistics as it applies to social science. Note: If you do not plan to conduct research studies in your work, contact us about a possible modification to your required courses. 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 to 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 given 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.

Generalized Linear Models Course

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: Jun 3, 2022, Jul 1, 2022, Aug 5, 2022, Sep 2, 2022, Oct 7, 2022, Nov 4, 2022, Dec 2, 2022, Jan 6, 2023, Feb 3, 2023, Mar 3, 2023, Apr 7, 2023
Statistics 2 - Inference and Association

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: Jun 10, 2022, Jul 8, 2022, Aug 5, 2022, Sep 9, 2022, Oct 7, 2022, Nov 11, 2022, Dec 9, 2022, Jan 6, 2023, Feb 10, 2023, Mar 10, 2023, Apr 14, 2023, May 12, 2023

Required Courses

Python for Analytics

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: Oct 7, 2022, Apr 7, 2023, Oct 6, 2023, Apr 5, 2024
Designing Valid Statistical Studies

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: ACE, CEU
Class Start Dates: Jul 29, 2022, Feb 17, 2023, Jul 28, 2023
Regression Analysis

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: Oct 14, 2022, Jan 13, 2023, May 5, 2023, Oct 13, 2023, Jan 12, 2024
Course

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: Oct 28, 2022, Apr 21, 2023, Oct 27, 2023
R Programming - Introduction Part 1

Statistics 3 – ANOVA and Regression

This course, the third of a three-course sequence, provides an analysis 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: Jul 15, 2022, Sep 16, 2022, Nov 18, 2022, Jan 20, 2023, Mar 17, 2023, May 19, 2023, Jul 21, 2023, Sep 15, 2023
Mapping in R Course

Survey Design and Sampling Procedures

Topic: Statistics, Tests & Surveys | Skill: Introductory | Credit Options: CEU
Class Start Dates: Aug 5, 2022, Mar 17, 2023, Aug 4, 2023

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:

Mapping in R Course

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, Statistical Modeling | Skill: Intermediate, Advanced | Credit Options: CAP, CEU
Class Start Dates: Oct 28, 2022, Oct 27, 2023, Oct 25, 2024
Survey Analysis Course

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 16, 2022, Sep 15, 2023, Sep 13, 2024
Predictive Analytics 1 – Machine Learning Tools

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, Using Python | Skill: Intermediate | Credit Options: ACE, CEU
Class Start Dates: Sep 9, 2022, Mar 10, 2023, Sep 8, 2023
R Programming - Intermediate

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: Oct 7, 2022, Jan 20, 2023, May 19, 2023, Oct 6, 2023
Statistics.com - SEO Statistics.com - SEO 100% 10 C24 Rasch Measurement - Further Topics - Course Screen reader support enabled. Rasch Measurement - Further Topics - Course Turn on screen reader support Dinesh Shigvan has joined the document.

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 24, 2022, Jun 23, 2023, Jun 21, 2024
Course

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: Jun 17, 2022, Jun 16, 2023, Jun 14, 2024
Many-Facet Rasch Measurement Course

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 3, 2023, Mar 1, 2024
Python for Analytics

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: Oct 28, 2022, Oct 27, 2023, Oct 25, 2024
Many-Facet Rasch Measurement Course

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 12, 2022, Aug 11, 2023, Aug 9, 2024
Introductory Statistics for College Credit

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: Aug 12, 2022, Mar 24, 2023, Aug 11, 2023
Course

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 15, 2022, Nov 18, 2022, Jul 14, 2023, Nov 17, 2023
Cluster Analysis

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 19, 2022, Aug 18, 2023, Aug 16, 2024
Mixed and Hierarchical Linear Models Course

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: Sep 23, 2022, Sep 22, 2023, Sep 20, 2024
Spatial Statistics for GIS Using R

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 21, 2022, Oct 20, 2023, Oct 18, 2024
Multivariate Statistics Course

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: Jul 22, 2022, Jan 27, 2023, Jul 21, 2023
Generalized Linear Models Course

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: Jun 17, 2022, Jun 16, 2023, Jun 14, 2024
Introductory Statistics for College Credit

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: Aug 26, 2022, Aug 25, 2023, Aug 23, 2024
R Programming - Introduction Part 1

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, Statistical Modeling | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: Nov 25, 2022, Nov 24, 2023, Nov 22, 2024
Introduction to Network Analysis

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: Sep 9, 2022, Mar 10, 2023, Sep 8, 2023, Mar 8, 2024
Analysis of Survey Data from Complex Sample Designs Course

Analysis of Survey Data from Complex Sample Designs

This course will teach you how to estimate descriptive quantities and sampling variances from complex surveys, and also how to fit linear and logistic regression models to complex sample survey data.
Topic: Statistics, Tests & Surveys | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: Oct 21, 2022, Oct 20, 2023, Oct 18, 2024
Mapping in R Course

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 23, 2022, Sep 22, 2023, Sep 20, 2024

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 when you enroll.

Statistics 3 - ANOVA and Regression(3-week class)Jul 15, 2022
Designing Valid Statistical Studies(4-week class)Jul 29, 2022
Survey Design and Sampling Procedures(4-week class)Aug 5, 2022
Statistics 3 - ANOVA and Regression(3-week class)Sep 16, 2022
Categorical Data Analysis(4-week class)Oct 7, 2022
Regression Analysis(4-week class)Oct 14, 2022
Sample Size and Power Determination(4-week class)Oct 28, 2022
Statistics 3 - ANOVA and Regression(3-week class)Nov 18, 2022
Regression Analysis(4-week class)Jan 13, 2023
Statistics 3 - ANOVA and Regression(3-week class)Jan 20, 2023

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Tuition and Fees

Our Social Science Statistics Certificate Program – the approximate equivalent of a Master’s 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 tuition on a monthly basis, pay as you go, or get a discount for paying in full today. You’ll pay separately for any needed texts; cost approximately $250 total (varies depending on your rent/purchase preference and whether your chosen electives require texts).

Payment options

$5499 one-time fee [best value]

$319/month for 18 months [$5742]

$649 enrollment + course fees [$6283]

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 Program?

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 program.

Please see our knowledge center for more information.

Visit our knowledge base and learn more.

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Additional Series Information

Organization of Program

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

Time Requirements

There are 10 courses, each is 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 tuition for the Social Science Statistics Certificate Program is only $5,499 if you pay in full upfront. This includes the program registration fee and individual course costs.  It reflects considerable savings if you pay the program costs upon enrollment. Note: All tuition held on account must be used within two (2) years from the date of purchase.

You also have the option to pay on a course-by-course basis with our pay-as-you-go model. The estimated tuition is $6,283. You will need to pay the registration fee to enroll which is $649. The “pay-as-you-go” estimate includes the registration fee and individual course costs (required: $3,380 and estimated electives: $2,254)  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.

Our third payment option offers automatic payments over an 18-month period. The $319 monthly installment totals an estimated $5,742. This includes the program registration fee, individual course costs, and a finance charge ($243). For more information, please review our Truth in Lending page.

The actual total cost of the program may vary slightly depending on several factors and may differ slightly from the estimates 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 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.

About Statistics.com

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