Studyportals
Certificate Online

Introduction to Bayesian Analysis (Online) UCL

Highlights
Tuition fee
75 GBP / full
75 GBP / full
Unknown
Tuition fee
75 GBP / full
75 GBP / full
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

UCL offers the Introduction to Bayesian Analysis (Online) programme.

Overview

Key facts

  • UCL's Introduction to Bayesian Analysis (Online) course focuses on the principles of Bayesian analysis with the aim to enable participants to apply Bayesian methods on their own research and understand other people's results via Bayesian analysis.

Programme Structure

Courses include:

  • Differentiate the principles of both classical and Bayesian statistical frameworks, and the advantages / disadvantages of each.
  • Understand the concept of a probability distribution, including the main established distributions (e.g. the normal distribution) and their parameters.
  • Recite the different contributing probability distributions that play a role in Bayes theorem of conditional probabilities.
  • Incorporate their prior beliefs into an analysis alongside evidence presented by the collected data.
  • Use the results of Bayesian analysis to answer their research question (through prediction, estimation hypothesis testing and credible intervals).
  • Have appreciation for the computational complexity of fitting some Bayesian models

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • London, United Kingdom

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

A basic level of statistical literacy is required as a prerequisite.

It is desirable for the course participants to have basic knowledge of statistics, i.e. notion of statistical inference, p-values and Confidence intervals.

Those who have completed the five-day Introduction to Statistics and Research Methods course run frequently by the Centre for Applied Statistics Courses (CASC) team will be equipped.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    75 GBP / full
    75 GBP / full
  • Domestic

    Citizens or residents
    75 GBP / full
    75 GBP / full

Funding

Other interesting programmes for you

Our partners

Introduction to Bayesian Analysis (Online)
UCL
Introduction to Bayesian Analysis (Online)
-
UCL

Wishlist

Go to your profile page to get personalised recommendations!