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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/bayesian-statistics
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课程名称：贝叶斯统计 课程概述： 本课程旨在帮助学习者掌握贝叶斯统计、贝叶斯推断、时间序列预测、层次建模等多项技能。通过四门完整课程（从概念到数据分析；技术与模型；混合模型；时间序列分析）以及一个最终项目，您将学习贝叶斯方法，如共轭模型、MCMC、混合模型和动态线性建模。这些知识将使您能够进行数据分析、参与预测及创建统计模型。 应用学习项目： 该课程将引导学习者从概率的基本概念入手，逐步深入到动态线性建模等复杂概念。您将学习贝叶斯方法的哲学，以及如何将其应用于常见数据的分析，特别是时间序列数据。本课程结合了讲座视频、计算机演示、阅读材料、练习和讨论板，营造主动学习的体验。最终项目将是学习者展示贝叶斯统计相关技能的一次机会，您需要对实际数据进行复杂的数据分析，并撰写方法与结果的报告。 课程特点： - 完全在线，学习者可自主安排学习时间。 - 灵活的学习计划，设定并维持灵活的截止日期。 - 中级水平，要求具备微积分基础知识（无需详细掌握，仅需理解概念）及基础统计课程的经验。 - 预计完成时间为6个月，建议每周学习4小时。 语言和可用性： 课程提供英语授课，辅有多种语言字幕，包括英语、阿拉伯语、法语、葡萄牙语（欧洲）、意大利语、越南语、德语、俄语和西班牙语。 获得证书： 完成课程后，学习者将获得可分享的证书。 课程链接： 1. [贝叶斯统计：从概念到数据分析](https://www.coursera.org/learn/bayesian-statistics) 2. [贝叶斯统计：技术与模型](https://www.coursera.org/learn/mcmc-bayesian-statistics) 3. [贝叶斯统计：混合模型](https://www.coursera.org/learn/mixture-models) 4. [贝叶斯统计：时间序列分析](https://www.coursera.org/learn/bayesian-statistics-time-series-analysis) 5. [贝叶斯统计：顶点项目](https://www.coursera.org/learn/bayesian-statistics-capstone) 该课程适合所有希望提高统计学、贝叶斯统计、R编程以及数据科学能力的学习者。
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.
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
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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
