开始时间: 12/21/2023 持续时间: Approximately 6 months to complete Suggested pace of 4 hours/week
所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/bayesian-statistics
课程评论:没有评论
What you will learn
Bayesian Inference
Time Series Forecasting
Hierarchical Modeling
Skills you will gain
Bayesian Statistics
Data Science
R Programming
Data Analysis
Statistics
Bayesian Inference
Gibbs Sampling
Markov Model
Mixture Model
Forecasting
Dynamic Linear Modeling
Time Series
About this Specialization
4,589
recent views
This Specialization is intended for all learners seeking to develop proficiency in statistics, Bayesian statistics, Bayesian inference, R programming, and much more. Through four complete courses (From Concept to Data Analysis; Techniques and Models; Mixture Models; Time Series Analysis) and a culminating project, you will cover Bayesian methods — such as conjugate models, MCMC, mixture models, and dynamic linear modeling — which will provide you with the skills necessary to perform analysis, engage in forecasting, and create statistical models using real-world data.
Applied Learning Project
This Specialization trains the learner in the Bayesian approach to statistics, starting with the concept of probability all the way to the more complex concepts such as dynamic linear modeling. You will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data, and then dive deeper into the analysis of time series data.
The courses in this specialization combine lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience, while the culminating project is an opportunity for the learner to demonstrate a wide range of skills and knowledge in Bayesian statistics and to apply what you know to real-world data. You will review essential concepts in Bayesian statistics, learn and practice data analysis using R (an open-source, freely available statistical package), perform a complex data analysis on a real dataset, and compose a report on your methods and results.
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Prior experience with calculus (you don’t need to remember how to do it, just to understand the concepts); an introductory statistics course.
Hours to complete
Approximately 6 months to complete
Suggested pace of 4 hours/week
Available languages
English
Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Prior experience with calculus (you don’t need to remember how to do it, just to understand the concepts); an introductory statistics course.
Hours to complete
Approximately 6 months to complete
Suggested pace of 4 hours/week
Available languages
English
Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish
Course Link: https://www.coursera.org/learn/bayesian-statistics
Name:Bayesian Statistics: From Concept to Data Analysis
Description:Offered by University of California, Santa Cruz. This course introduces the Bayesian approach to statistics, starting with the concept of ... Enroll for free.
Course Link: https://www.coursera.org/learn/mcmc-bayesian-statistics
Name:Bayesian Statistics: Techniques and Models
Description:Offered by University of California, Santa Cruz. This is the second of a two-course sequence introducing the fundamentals of Bayesian ... Enroll for free.
Course Link: https://www.coursera.org/learn/mixture-models
Name:Bayesian Statistics: Mixture Models
Description:Offered by University of California, Santa Cruz. Bayesian Statistics: Mixture Models introduces you to an important class of statistical ... Enroll for free.
Course Link: https://www.coursera.org/learn/bayesian-statistics-time-series-analysis
Name:Bayesian Statistics: Time Series Analysis
Description:Offered by University of California, Santa Cruz. This course for practicing and aspiring data scientists and statisticians. It is the fourth ... Enroll for free.
Course Link: https://www.coursera.org/learn/bayesian-statistics-capstone
Name:Bayesian Statistics: Capstone Project
Description:Offered by University of California, Santa Cruz. This is the capstone project for UC Santa Cruz's Bayesian Statistics Specialization. It is ... Enroll for free.