概率分布课程
概率分布课程可以帮助您了解正态分布、二项分布和泊松分布，以及它们在统计学和数据分析中的应用。您可以掌握解释数据、计算概率以及根据统计模型做出明智预测的技能。许多课程都会介绍 R、Python 和 Excel 等工具，这些工具支持可视化分布和执行模拟，帮助您将这些概念应用到风险评估和决策等实际场景中。
热门概率分布课程与认证
状态：免费试用Databricks
您将获得的技能: Python 程序设计, 贝叶斯统计, 统计编程, 预测建模, 统计可视化, 数据库, 回归分析, 抽样（统计）, 统计推理, 数据科学, 模拟, 概率分布, 统计建模, 分类与回归树 (CART), 概率, 统计分析, 马尔可夫模型, Jupyter, 统计, 数学软件
状态：免费试用University of California, Santa Cruz
您将获得的技能: 贝叶斯统计, 数据分析, 回归分析, 模拟, 概率分布, 统计分析, 概率, 统计推理, 统计建模, 马尔可夫模型, R 语言程序设计（中文版）
状态：新状态：免费试用您将获得的技能: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Data Science, Data Analysis, Statistical Modeling, Histogram, Pandas (Python Package), NumPy, Statistical Inference, Probability, Correlation Analysis
状态：预览University of Leeds
您将获得的技能: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software
状态：免费试用Stanford University
您将获得的技能: 图论, 机器学习算法, 抽样（统计）, 统计推理, Algorithm, 概率与统计, 统计方法, 贝叶斯网络, 马尔可夫模型, 应用机器学习, 计算思维
状态：免费试用Johns Hopkins University
您将获得的技能: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
状态：新状态：预览Northeastern University
您将获得的技能: Probability & Statistics, Probability Distribution, Probability, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability
Duke University
您将获得的技能: 贝叶斯统计, 预测建模, 统计假设检验, 数据分析, 回归分析, 概率分布, 统计方法, 统计推理, 概率, R 语言程序设计（中文版）, 统计建模
状态：免费试用Imperial College London
您将获得的技能: 贝叶斯统计, 人工神经网络, 机器学习, 张力流, 概率与统计, 生成模型架构, 图像分析, 无监督学习, 降维, 深度学习
状态：免费试用Stanford University
您将获得的技能: 图论, 自然语言处理, 概率与统计, 概率分布, 贝叶斯网络, 统计建模, 决策支持系统, 马尔可夫模型, 网络分析, 网络模型
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: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming
与 probability distribution 相关的搜索
总之，以下是 10 最受欢迎的 probability distribution 课程
- 数据科学家计算统计入门: Databricks
- 贝叶斯统计：技术与模型: University of California, Santa Cruz
- Statistics for Data Science with Python: EDUCBA
- Statistical Methods: University of Leeds
- 概率图形模型 2：推理: Stanford University
- Computational and Graphical Models in Probability: Johns Hopkins University
- Engineering Probability and Statistics Part 1: Northeastern University
- 贝叶斯统计: Duke University
- 使用 TensorFlow 2 进行概率深度学习: Imperial College London
- 概率图形模型 1：表示法: Stanford University
