Bayesian statistics is a mathematical procedure that applies probabilities to statistical problems. In this 3-course Mastery Series, you'll get a deep dive into the theories and tools used to discover how probability (Bayes' theorem) is used to revise our beliefs given observed data. In this hands-on practicum, 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. This program combines theoretical sessions and real-world applications to help you unearth new theories and apply them at work or in your learning practicum.
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
- Data Scientist
- Risk Manager
When you earn your Record of Mastery in Bayesian Statistics, you will have an in-depth understanding of Bayesian methods and practical skills to unearth evidence from new data.
- 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
You should be familiar with introductory statistics, as covered in:
Class Start Dates: Dec 6, 2019
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.
Class Start Dates: Jan 10, 2020, Jul 3, 2020
Class Start Dates: Jan 10, 2020, Jul 3, 2020
Class Start Dates: Mar 20, 2020, Sep 18, 2020
Class Start Dates: Apr 17, 2020, Apr 16, 2021, Apr 15, 2022
Class Start Dates: May 15, 2020
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Tuition and Fees
Plus a $65 Recording Fee
Frequently Asked Questions
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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.
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).
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.
Contact us to get information on group rates.
Options for Credit and Recognition
Our Mastery Series credits options vary by program and courses offered.
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.
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.
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.