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
您将获得的技能: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming
Johns Hopkins University
您将获得的技能: Epidemiology, Public Health, Social Determinants Of Health, Public Health and Disease Prevention, Health Disparities, Biostatistics, Health Equity, Medical Records, Demography, Vital Signs, Health Policy, Diversity Awareness, Medical Coding, Record Keeping, Data Quality, Health Information Management, Data Collection
您将获得的技能: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export
状态：实践项目University of Leeds
您将获得的技能: Data Ethics, Data Presentation, Statistical Machine Learning, Statistical Hypothesis Testing, Regression Analysis, Data Storytelling, Exploratory Data Analysis, Bayesian Statistics, Data Analysis, Model Evaluation, Statistical Visualization, Classification And Regression Tree (CART), Supervised Learning, Network Analysis, Data Visualization, Data Preprocessing, Web Scraping, Statistical Modeling, Linear Algebra, Python Programming
University of Amsterdam
您将获得的技能: 研究方法, 统计分析, 数据分析, 研究设计, 描述性统计, 实验, 调查, 创建调查, 数据收集, 研究, 定性研究, 研究报告
您将获得的技能: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction
Duke University
您将获得的技能: 统计资料, 统计推理, 同行评审, 统计分析, 探索性数据分析, 数据分析, 数据可视化, 概率与统计, 统计报告, 概率分布, 统计建模, 统计方法, R 程序设计, 回归分析, 统计假设检验, 概率, 贝叶斯统计, 抽样（统计）, R（软件）, 数据分析软件
Johns Hopkins University
您将获得的技能: 公共卫生, 统计资料, 统计推理, 高级分析, 统计分析, 概率与统计, 逻辑回归, 描述性统计, 流行病学, 统计建模, 概率分布, 统计方法, 预测建模, 统计假设检验, 统计可视化, 定量研究, 科学方法, 回归分析, 抽样（统计）, 生物统计学
您将获得的技能: iOS Development, Swift Programming, Apple iOS, Mobile Development, User Interface (UI), Apple Xcode, Restful API, User Interface and User Experience (UI/UX) Design, Application Development, Development Environment, Application Programming Interface (API), UI Components, Real Time Data, JSON
Johns Hopkins University
您将获得的技能: 统计分析, 数据分析, R 程序设计, 调试, 模拟, 数据结构, 计算机编程工具, 数据导入/导出, 统计编程, 数据操作, 性能调整, 编程原则
Google
您将获得的技能: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Object Oriented Programming (OOP), Data Structures, Interviewing Skills, Applicant Tracking Systems
Stanford University
您将获得的技能: Algorithm, 博弈论, 经济学, 算法, 图论, 解决问题, 数学建模, 概率分布, 贝叶斯统计, 概率, 行为经济学
总之，以下是 10 最受欢迎的 bayesian statistics 课程
- Basic Statistics in Python (Correlations and T-tests): Coursera
- Civil Registration & Vital Statistics in Population Health: Johns Hopkins University
- Using Descriptive Statistics to Analyze Data in R: Coursera
- Master of Science in Data Science (Statistics): University of Leeds
- 社会科学方法与统计 - 最终研究项目: University of Amsterdam
- Regression Analysis for Statistics & Machine Learning in R: Packt
- 使用 R 进行数据分析: Duke University
- 公共卫生生物统计学: Johns Hopkins University
- SwiftUI Covid19 Statistics Tracker with REST API & Swift 5: Packt
- R 程序设计: Johns Hopkins University
