Probability 理论课程
概率论课程可以帮助您学习统计推理、随机变量和概率分布。您可以掌握假设检验、Regression 分析和不确定情况下的决策技能。许多课程都会介绍 R、Python 和 Excel 等工具，这些工具支持分析数据和对现实世界的现象进行建模。您将探索贝叶斯定理、期望值和大数定律等关键主题，所有这些对于金融、工程和人工智能等领域的应用都至关重要。
热门概率论课程和认证
University of Colorado Boulder
您将获得的技能: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Markov Model, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Machine Learning Methods, Generative AI, Data Analysis, Data Science, Machine Learning Algorithms, Mathematical Theory & Analysis
Johns Hopkins University
您将获得的技能: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Bayesian Statistics, Data Science, Simulations
University of Pittsburgh
您将获得的技能: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistics, Bayesian Statistics, Statistical Software, Statistical Inference, Applied Mathematics, Python Programming, Machine Learning, Algorithms
DeepLearning.AI
您将获得的技能: 探索性数据分析, 统计方法, 概率与统计, 统计分析, 统计可视化, 统计推理, 数据科学, 箱形图, 概率, 相关性分析, 统计资料, 概率分布, 描述性统计, 统计机器学习, 柱状图, 统计假设检验, 抽样（统计）, A/B 测试, 贝叶斯统计
您将获得的技能: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)
University of California San Diego
您将获得的技能: 算法, Python 编程, 模拟, 组合学, 概率, 数学建模, 算术, 统计资料, Algorithm, 概率分布, 贝叶斯统计
是什么让您今天来到 Coursera？
University of Zurich
您将获得的技能: 风险分析, 概率, 相关性分析, 财务, 统计方法, 概率与统计, 概率分布, 描述性统计
University of Colorado Boulder
您将获得的技能: 概率, 统计方法, 统计分析, 概率与统计, 数据分析, 统计资料, 概率分布
Stanford University
您将获得的技能: 决策智能, 无监督学习, 机器学习算法, 机器学习方法, 机器学习, 模型优化, 图论, 概率与统计, 贝叶斯网络, 统计推理, 网络模型, 马尔可夫模型, 概率分布, 应用机器学习, 统计建模, 统计机器学习, 模型培训, 贝叶斯统计, 网络分析, 决策支持系统
Johns Hopkins University
您将获得的技能: 线性代数, 数据建模, 统计方法, 回归分析, 统计分析, R 程序设计, 数据分析, 概率与统计, 统计推理, 数据科学, 数学建模, 概率, 统计资料, 概率分布, 统计建模, 生物统计学, 抽样（统计）, 贝叶斯统计, 统计假设检验, 应用数学
Johns Hopkins University
您将获得的技能: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction
Stanford University
您将获得的技能: 数据收集, 探索性数据分析, 相关性分析, 统计可视化, 分析, 数据分析, 统计分析, 回归分析, 统计方法, 概率与统计, 统计推理, 概率, 统计资料, 描述性统计, 概率分布, 统计机器学习, 抽样（统计）, 统计假设检验
总之，以下是 10 最受欢迎的 probability theory 课程
- Foundations of Probability and Statistics: University of Colorado Boulder
- Foundations of Probability and Random Variables: Johns Hopkins University
- Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
- 机器学习和数据科学的概率与统计: DeepLearning.AI
- Statistical Inference & Predictive Modeling Foundations: Coursera
- 组合学和概率论: University of California San Diego
- 概率直观入门: University of Zurich
- Data Science 和 AI 的概率基础: University of Colorado Boulder
- 概率图形模型: Stanford University
- 数据科学高级统计学: Johns Hopkins University
