Download Coursera – Bayesian Statistics Specialization 2022-5

Bayesian Statistics Specialization

Description

Bayesian Statistics Specialization is a Bayesian statistics training series for forecasting and modeling published by Coursera Academy. In this educational series, he will get acquainted with the basic principles of Bayesian statistics and will strengthen his data analysis skills. This educational collection includes various and scattered topics such as statistics, Bayesian statistics, Bayesian inference, R programming language, etc. and is a complete and comprehensive educational collection. This series consists of four separate courses and a completely practical project, and during the educational process, different methods of Bayesian statistics such as prior conjugate distribution, Monte Carlo Markov chain, mixture models, dynamic linear modeling And you will learn… All the taught methods will be used in performing professional statistical analysis, building different information models and statistical forecasting.

What you will learn in the Bayesian Statistics Specialization course:

  • Bayesian inference
  • Time Series Forecasting
  • Bayesian hierarchical modeling
  • data scienceData Science)
  • R programming language
  • Analysis and review of information
  • Bayesian statistics and statistics and its various methods
  • Gibbs sampling
  • Markov model
  • mixed model (Mixture Model)
  • Forecasting
  • dynamic linear modeling
  • Time series (Time series)

Course details

Publisher: Coursera
teacher: Herbert Lee ,Matthew Heiner ,Abel Rodriguez ,Raquel Prado And Jizhou Kang
English language
Providing institution/university: University of California (University of California Santa Cruz)
Education level: Intermediate
Number of courses: 5
Duration of training: assuming 4 hours of work per week, about 6 months

Courses available 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

Course prerequisites

What background knowledge is necessary?

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

Course images

Sample video of the Bayesian Statistics Specialization course

Installation guide

After Extract, view 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 the course – 330 MB

Password file(s): www.downloadly.ir

Size

About 5.5 GB in total

4.5/5 – (2365 points)

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