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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Bayesian Statistics certification is a 7-week long programme where all the participants enrolling must devote approximately 34 hours of their time. This certification course is available on the Coursera platform but has been designed by Duke University. Also, this course is part 4 of 5 in the specialization of Statistics with R Specialization offering a free trial that is valid for 7 whole days. Whoever the interested participants must make sure that they have some kind of prior knowledge of what all is taught in the precious course parts of the specialization.

The Bayesian Statistics training will be responsible for introducing Bayesian comparisons related to means, credible regions, and Bayesian regression using multiple models to the participants. The course finally teaches all the applicants to learn the application of Bayesian methods to several practical issues and implementation in R programming. Apart from providing a certificate that is shareable, the candidates will be able to change the course timings with respect to their convenient schedules.

The Highlights

7 weeks programme
100% online course
34 hours of classes
Learning by self
Intermediate course level
10 subtitles available
Certificate by Coursera

Programme Offerings

Online Course
Shareable Certificate
Flexible Deadlines
Graded Assignments
English Course
10 Subtitles Available
Lectures
videos
Readings
Practice Exercises.

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 4954	yes	Coursera

Bayesian Statistics Fee structure

Head	Amount in INR
Certificate fees	Rs. 4954

Eligibility Criteria

Educational Qualification

Having some language knowledge of Spanish, French, English, Russian, Arabic, German, Italian, Portuguese (European), and Vietnamese will prove to be beneficial. Also, having some idea of the other courses in this specialization will be preferable.

Certification Qualifying Details

For the Bayesian Statistics certification by Coursera students should be attending all the quizzes, video lectures, and also reading that is available on the syllabus section.

What you will learn

Statistical skillsR Programming

The candidates from the Bayesian Statistics certification course can learn the following:

They will learn to transform prior probabilities into posterior ones with the use of Bayes’ rule.
Learners will be able to learn the perspective and theory of the Bayesian paradigm.
Candidates will also build models by implementing R programming techniques.

Admission Details

Bayesian Statistics admission process is as follows:

Step 1: Visit the official website: https://www.coursera.org/learn/bayesian

Step 2: Clicking the ‘Enroll for free’ button on the website homepage.

Step 3: On this page, candidates will just have to make a participant account on Coursera.

Step 4: Then participants need to next find out financial aid if they require it after logging into Coursera using the account details made in the previous step.

Step 5: Finally, the above steps complete the admission process.

Application Details

No small or big application form filing is required. Only the candidates have to keep in mind that they need to fill up their details on a signup form on Coursera to get their accounts made.