Coursera - Bayesian Statistics Specialization 2022
Bayesian Statistics Specialization

Coursera – Bayesian Statistics Specialization 2022

Description

Bayesian Statistics Specialization is a Bayesian statistics training package for forecasting and modeling published by Corsara Academy. In this training set, you will be introduced to the basics of Bayesian statistics and will strengthen your data analysis skills.

This training package includes various and scattered topics such as statistics, Bayesian statistics, Bayesian inference, R, and programming language and is a complete and comprehensive training package. This set consists of four separate courses and a completely practical project, and during its training process, different Bayesian statistical methods such as ex-conjugate distribution, Monte Carlo Markov chain, mixture models, and dynamic linear modeling.

And you will learn… All taught methods will be used in performing professional statistical analysis, building various information models, and statistical forecasting.

What you will learn in the Bayesian Statistics Specialization course:

  • Bayesian inference
  • Time Series Forecasting
  • Bayesian hierarchical modeling
  • Data Science _
  • R programming language
  • Analysis and analysis of information
  • Bayesian statistics and its various methods
  • Gibbs sampling
  • Markov model
  • Mixture Model _
  • Forecasting
  • Dynamic linear modeling
  • Time Series _

See Also:

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Course specifications

Publisher: Coursera
Instructors: Herbert Lee, Matthew Heiner, Abel Rodriguez, Raquel Prado, and Jizhou Kang
Language: English
Institution / University Provider: University of California Santa Cruz
Level: Average
Number of Courses: 5
Duration: Assuming 4 hours of work per week for about 6 months

Courses in the Bayesian Statistics Specialization collection

Course 1

Bayesian Statistics: From Concept to Data Analysis

Course 2

Bayesian Statistics: Techniques and Models

Course 3

Bayesian Statistics: Mixture Models

Course 4

Bayesian Statistics: Time Series Analysis

Course 5

Bayesian Statistics: Capstone Project

Bayesian Statistics Specialization Course Prerequisites

What background knowledge is necessary?

Prior experience with calculus (you do not need to remember how to do it, just to understand the concepts); an introductory statistics course.

Bayesian Statistics Specialization Course pictures

 

Bayesian Statistics Specialization

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

This collection includes 5 different courses.

download link

Bayesian Statistics: From Concept to Data Analysis

Download course – 1 GB

Bayesian Statistics: Techniques and Models

Download Part 1 – 1 GB
Download Part 2 – 239 MB

Bayesian Statistics: Mixture Models

Download Part 1 – 1 GB
Download Part 2 – 649 MB

Bayesian Statistics: Time Series Analysis

Download Part 1 – 1 GB
Download Part 2 – 328 MB

Bayesian Statistics: Capstone Project

Download course – 330 MB
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