Bayesian Statistics Mastery Series

In this Mastery Series (you choose 3 of 5 courses), you’ll learn how to perform Bayesian analysis with BUGS software package by applying Markov Chain Monte Carlo techniques to Bayesian statistical modeling. You’ll also learn to employ RJags and Rstan, programs for Bayesian analysis within R.

Home Mastery Series Bayesian Statistics Mastery Series

Overview

In this 3-course Mastery Series, you'll learn how to perform Bayesian analysis with BUGS software package by applying Markov Chain Monte Carlo (MCMC) techniques to Bayesian statistical modeling. You'll also learn to employ RJags and Rstan, programs for Bayesian analysis within R. This program combines theoretical sessions and real-world applications to give you the tools to apply Bayesian techniques in your own work.

Who This Mastery Serves

Enroll in our Bayesian Statistics Mastery Series if you are a student or professional wants a deep dive in the Bayesian techniques in order to develop statistical software and data analysis. A Record of Mastery will give you the edge you need to enhance your career or the skills you need to find a new job. Related job titles include:

Data Analyst
Business Analyst
Technical Analyst
Researcher
Data Scientist
Risk Manager
Statistician

Learning Outcomes

When you earn your Record of Mastery in Bayesian Statistics, you will have an in-depth and practical understanding of Bayesian methods to build statistical models that incorporate prior judgments or information.

Explain the benefits of Bayesian methods and the basic idea of MCMC
Install BUGS software and be able to write BUGS code
Work with 3 standard schemes for prior and posterior distributions
Conduct posterior summaries and tests
Make predictions from models
Conduct Bayesian regression
Specify 3-stage Bayesian hierarchical model
Measure model fit and check parameters
Model the variance/covariance in Bayesian random effects models
Apply Bayesian hierarchical models to meta-analysis
Specify multi-level and panel models
Manage overdispersion for count and proportion data

Perform Bayesian analysis for a binomial proportion and a normal mean
Perform Bayesian analysis for differences in proportions and means
Perform Bayesian analysis for a simple linear regression
Contrast Bayesian methods with frequentist methods
Write code in rjags
Specify models for linear regression; count, binary and binomial data
Specify priors and likelihoods to define a model
Install rstan and write code in R
Implement a linear regression model in rstan
Implement logistic, Poisson, ordinal and weighted regression in rstan

Prerequisites

You should be familiar with introductory statistics, as covered in:

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Courses

The Bayesian Statistics Mastery Series consists of three out of five 4-week courses (you choose) offered completely online at Statistics.com. This Mastery Series can be completed in a less than a year depending on your personal schedule and course availability.

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Introduction to Bayesian Statistics

This course will teach you the basic ideas of Bayesian Statistics: 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.

Topic: Statistics, Bayesian, Statistical Modeling | Skill: Intermediate | Credit Options: CAP, CEU
Class Start Dates: Jul 21, 2023, Jan 19, 2024

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 25, 2023, Aug 23, 2024

Bayesian Statistics in R

This course will teach you how to specify and run Bayesian modeling procedures using regression models for continuous, count and categorical data Using R and the associated R package JAGS.

Topic: Statistics, Bayesian, Statistical Modeling, Using R | Skill: Intermediate | Credit Options: CAP, CEU
Class Start Dates: Sep 22, 2023, Sep 20, 2024, Sep 19, 2025

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 27, 2023, Oct 25, 2024

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 24, 2023, Nov 22, 2024

What Our Students Say

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This was a highly interactive course with a first rank expert in his topic who, fortunately, was also good communicator who likes teaching.

John Steward

Welsh Cancer Intelligence & Surveillance Unit

I would contend that this Bayesian Computing class (and other Statistics.com classes I've taken) has extremely good value. I have gotten so much education for relatively little expense. the assistant teacher's feedback was extremely helpful.

Richard Coshow

QDNR

Tuition and Fees

Plus a $65 Recording Fee

1,749

Frequently Asked Questions

Is there a fee for a Record of Mastery?

Successfully complete the courses listed for Mastery Series and you’ll earn a Record of Specialization from the Institute for Statistics Education at Statistics.com.

To receive your Record of Mastery Series, there is a recording fee of $65.

Please see our knowledge center for more information.

How does the Mastery Series program work?

The Institute offers specializations in topics in several areas of focus. Successfully complete three of the courses listed for any specialization and you’ll earn a Record of Specialization from the Institute for Statistics Education at Statistics.com.

Please see our knowledge center for more information.

What types of courses are offered in Mastery Series?

Courses in the Mastery Series are standard Statistics.com courses – small classes, regular interaction with your instructor throughout the course, rapid expert feedback on your homework and projects.

Please see our knowledge center for more information.

Is the Institute for Statistics Education certified?

The Institute for Statistics Education is certified to operate by the State Council of Higher Education for Virginia (SCHEV). For more information visit: https://www.schev.edu/

Please see our knowledge center for more information.

Are courses eligible for CAP certification with INFORMS?

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, so your course credits are transferable to their certification programs.

Visit our knowledge base and learn more.

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Additional Information

Organization of Series

The Mastery Program consists of 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.

Courses takes place online at The Institute. During each course week, you participate at times of your own choosing. There are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions are led by the instructor. You can post questions, seek clarification, and interact with your fellow students and the instructor.

At the beginning of each week, you receive material relevant to the course, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirements

There are 5 courses in this Mastery Series.

Each course is a 4-week course requiring 10-15 hours per week of review and study, at times of your choosing. You may build your own course calendar to meet your individual requirements. The Mastery Series program may be completed in less than six months to one year, depending on your personal schedule and course availability.

Course Fee & Information

Record of Mastery Documentation Fee
Upon Mastery completion, there is a $65 recording fee to receive your Record of Mastery documentation.

Transfers and Withdrawals
We have flexible policies to transfer to another course or withdraw if necessary (modest fee applies).

Enrollment
Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date unless you specify otherwise.

Invoice or Purchase Order
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment.

Group Rates
Contact us to get information on group rates.

Options for Credit and Recognition

Our Mastery Series credits options vary by program and courses offered.

No Credit
You may take this program without pursuing credit or a record of completion.

Mastery Program Credit
If you are enrolled in a Mastery Program that requires demonstration of proficiency in this subject, your course work may be assessed for a grade.

Certificate Program Credit
If you intend to enroll in a Certificate Program following completion of your Mastery Program, your course work may be assessed for a grade. In addition, your courses will be assessed for transferability to the Certificate Program course requirements. In most cases, if your Mastery Program courses are also included in the Certificate Program as either required courses or elective courses, your completed Mastery Program course work will be transferred to the Certificate Program.

CEU’s and Proof of Completion
If you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request.

CAP-INFORMS
Courses in your Mastery Program that have been recognized by the Institute for Operations Research and the Management Sciences (INFORMS) as helpful preparation for the Certified Analytics Professional (CAP®) exam will be will be issued a “Record of Course Completion” by The Institute upon your request, after successfully completing the course.

ACE CREDIT / College Credit
Courses in your Mastery Program that have been endorsed by the American Council on Education (ACE) will be issued a “Record of Course Completion” by The Institute upon your request, after you successfully complete the course. Please note that the decision to accept specific credit recommendations is up to the academic institution accepting the credit.

Digital Badge

For courses in your Mastery Program that have been endorsed by the American Council on Education (ACE), a digital badge will be made available upon successful completion of the course.

Miscellaneous

Visit our knowledge base to learn more about our mastery services.

Bayesian Statistics Mastery Series

Overview

Who This Mastery Serves