贝叶斯统计课程
贝叶斯统计课程可以帮助您学习概率分布、贝叶斯推断和统计建模。您可以培养假设检验、预测解析和不确定性下决策的技能。许多课程都会介绍 R、Python 和 Stan 等工具，这些工具常用于实现贝叶斯方法和分析数据。您还将探索马尔可夫链蒙特卡洛（MCMC）技术和贝叶斯网络等概念，掌握各领域数据驱动决策的实用知识。
热门贝叶斯统计课程与认证
状态：免费试用Stanford University
您将获得的技能: 贝叶斯网络, 概率与统计, 机器学习, 测试数据, 非结构化数据, 机器学习算法, 马尔可夫模型, 应用机器学习, 统计方法, 统计建模, Algorithm
状态：免费试用University of Colorado Boulder
您将获得的技能: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Probability Distribution
状态：免费试用University of Colorado Boulder
您将获得的技能: 统计分析, 概率与统计, 抽样（统计）, 定量研究, 统计, 统计方法, 样本量的确定, 数据伦理, 统计推理, 统计假设检验
状态：新状态：预览Northeastern University
您将获得的技能: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation
状态：预览Northeastern University
您将获得的技能: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Data Science, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Programming Principles, Data Visualization Software, Python Programming
状态：免费试用您将获得的技能: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis
您将获得的技能: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming
状态：免费试用University of Colorado Boulder
您将获得的技能: 回归分析, 统计分析, 机器学习, 无监督学习, 监督学习, 机器学习算法, 预测建模, 统计方法, 统计推理, 统计建模, R 语言程序设计（中文版）, 分类与回归树 (CART), 数据科学
状态：免费试用University of Michigan
您将获得的技能: 贝叶斯统计, 数据可视化软件, 探索性数据分析, 回归分析, 概率分布, 相关性分析, Python 程序设计, 统计编程, 统计方法, 预测建模, 统计推理, 统计建模, 统计软件, Jupyter
您将获得的技能: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
状态：免费试用Johns Hopkins University
您将获得的技能: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning
状态：免费试用Johns Hopkins University
您将获得的技能: 统计分析, 抽样（统计）, 概率分布, 概率与统计, 统计, 统计推理, 统计方法, 统计假设检验, 生物统计学, 数据分析
与 bayesian statistics 相关的搜索
总之，以下是 10 最受欢迎的 bayesian statistics 课程
- 概率图形模型 3：学习: Stanford University
- Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
- 数据科学应用中的统计推断和假设检验: University of Colorado Boulder
- Engineering Probability and Statistics Part 2: Northeastern University
- Data Analytics Engineering: Probability & Techniques: Northeastern University
- Statistics & Mathematics for Data Science & Data Analytics: Packt
- Basic Statistics in Python (Correlations and T-tests): Coursera
- 回归与分类: University of Colorado Boulder
- 用 Python 对数据拟合统计模型: University of Michigan
- Using probability distributions for real world problems in R: Coursera
