Account
Account

UCx: Introduction to Bayesian Statistics Using R

157,00 €

Learn the fundamentals of Bayesian approach to data analysis, and practice answering real life questions using R.

Categories ,

157,00 €

Learn the fundamentals of Bayesian approach to data analysis, and practice answering real life questions using R.

Categories ,

Discover the Course

About this course

Basics of Bayesian Data Analysis Using R is part one of the Bayesian Data Analysis in R professional certificate.

Bayesian approach is becoming increasingly popular in all fields of data analysis, including but not limited to epidemiology, ecology, economics, and political sciences. It also plays an increasingly important role in data mining and deep learning. Let this course be your first step into Bayesian statistics.

Here, you will find a practical introduction to applied Bayesian data analysis with the emphasis on formulating and answering real life questions. You will learn how to combine the data generating mechanism, likelihood, with prior distribution using Bayes’ Theorem to produce the posterior distribution. You will investigate the underlying theory and fundamental concepts by way of simple and clear practical examples, including a case of linear regression.

You will be introduced to the Gibbs sampler – the simplest version of the powerful Markov Chain Monte Carlo (MCMC) algorithm. And you will see how the popular R-software can be used in this context, and encounter some Bayesian R packages .

A facility in basic algebra and calculus as well as programming in R is recommended.

At a glance

  • Institution: UCx
  • Subject: Data Analysis & Statistics
  • Level: Introductory
  • Prerequisites:

    A facility in basic algebra and calculus as well as programming in R is recommended.

    If you have never used R before, it is also recommended to go through the chapters 1-7, and 9 of the R-manual found at https://cran.r-project.org/doc/manuals/r-release/R-intro.html

  • Language: English
  • Video Transcript: English
  • Associated programs:
    • Professional Certificate in Bayesian Statistics Using R
  • Associated skills:R (Programming Language), Ecology, Markov Chain Monte Carlo, Deep Learning, Elementary Algebra, Epidemiology, Data Analysis, Economics, Political Sciences, Data Mining, Bayesian Statistics, Calculus

What you’ll learn

• Bayes’ Theorem. Differences between classical (frequentist) and Bayesian inference.

• Posterior inference: summarizing posterior distributions, credible intervals, posterior probabilities, posterior predictive distributions and data visualisation.

• Gamma-poisson, beta-binomial and normal conjugate models for data analysis.

• Bayesian regression analysis and analysis of variance (ANOVA).

• Use of simulations for posterior inference. Simple applications of Markov chain-Monte Carlo (MCMC) methods and their implementation in R.

• Bayesian cluster analysis.

• Model diagnostics and comparison.

• Ensuring you answer the actual research question rather than “apply methods to the data”

Course Overview

Wide Choice

Explore expert-led technical, leadership & personal growth courses.

Customized Learning

AI-powered recommendations so you follow what fits your goals.

Certifiable Skils

Earn recognized certificates to showcase your progress.

Practical Impact

Gain immediately usable knowledge you can apply at work or life.

Progress Tracking

Track your growth every course, see how far you’ve come.

Career & Personal Growth

Advance professionally while growing personally.

FAQ

What makes ClearTech different?

We combine wide course variety, AI-driven personalization, and practical content so you learn what matters, efficiently.

Yes, every completed course grants you a certificate to validate your achievements.

They range from beginner to advanced. No matter your level, there’s a fit to help you grow.

Our platform uses AI to analyze your progress and suggest courses tailored to your goals.

ClearTech provides progress tracking tools so you can monitor learning achievements as you complete courses.

Yes, once you enroll, you can access your courses online and start right away.

Related Products