推断统计课程
推断统计课程可以帮助您学习假设检验、置信区间、Regression 分析和抽样方法。您可以培养解释数据、进行预测和从 Sampling 数据中得出结论的技能。许多课程都会介绍 R 和 Python 等统计分析工具，以及 SPSS 和 Excel 等软件，支持将这些统计技术应用到真实世界的数据 Set 中。
热门推断统计课程和证书
状态：免费试用Duke University
您将获得的技能: 统计分析, 统计, 抽样（统计）, 软件安装, R 语言程序设计（中文版）, 统计假设检验, 数据分析, R（软件）, 概率分布, 统计推理, 统计报告, 统计方法, 概率与统计
状态：免费试用University of Amsterdam
您将获得的技能: 统计, R 语言程序设计（中文版）, 统计推理, 回归分析, 逻辑回归
状态：新状态：免费试用Arizona State University
您将获得的技能: Statistical Methods, Bayesian Statistics, Statistics, Probability & Statistics, Data Storage Technologies, Analytical Skills, Exploratory Data Analysis, Data Storage, Database Software, Estimation, Data-Driven Decision-Making, Applied Machine Learning, Supervised Learning, Markov Model, Logistic Regression, Statistical Hypothesis Testing, Predictive Modeling, Simulations, Simulation and Simulation Software, Regression Testing
状态：免费试用Meta
您将获得的技能: 统计分析, 抽样（统计）, 统计, 描述性统计, 电子表格软件, Tableau 软件, 数据建模, 营销分析, 统计假设检验, 分析, 统计推理, 数据分析, 贝叶斯统计, 时间序列分析和预测, 统计方法, 回归分析, 概率与统计, 统计建模
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Probability, Statistical Inference, Estimation, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Markov Model, Bayesian Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Theoretical Computer Science, Machine Learning Algorithms, Mathematical Theory & Analysis
状态：免费试用University of California, Santa Cruz
您将获得的技能: 统计分析, 预测, 统计, R 语言程序设计（中文版）, 统计推理, 马尔可夫模型, 数据展示, 技术交流, R（软件）, 数据科学, 数据分析, 时间序列分析和预测, 贝叶斯统计, 概率分布, 概率, Model Evaluation, 统计建模, 统计方法, 统计软件, 概率与统计
是什么让您今天来到 Coursera？
状态：免费试用University of Michigan
您将获得的技能: 统计分析, 统计, Python 程序设计, 统计假设检验, 统计机器学习, Matplotlib, 贝叶斯统计, 统计编程, 抽样（统计）, 统计推理, Model Evaluation, 概率与统计, 数据扫盲, 回归分析, 统计方法, Seaborn, 统计软件, 统计建模, Jupyter, 数据可视化
状态：免费试用Google
您将获得的技能: Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics, Advanced Analytics, Data Analysis, Probability Distribution, Statistics, Probability, A/B Testing, Statistical Analysis, Data Science, Statistical Inference, Statistical Programming, Jupyter, Python Programming, Technical Communication
状态：免费试用University of Colorado Boulder
您将获得的技能: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis
状态：免费试用您将获得的技能: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Model Evaluation, Statistical Modeling, Predictive Modeling, Statistical Analysis, Advanced Analytics, Data Analysis, Correlation Analysis, Predictive Analytics, Machine Learning, Variance Analysis, Python Programming
状态：免费试用DeepLearning.AI
您将获得的技能: 统计分析, A/B 测试, 描述性统计, 统计假设检验, 数据科学, 贝叶斯统计, 统计机器学习, 概率分布, 抽样（统计）, 统计推理, 概率, 探索性数据分析, 统计可视化, 统计建模, 概率与统计
状态：免费试用University of Colorado Boulder
您将获得的技能: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm
与 inferential statistics 相关的搜索
总之，以下是 10 最受欢迎的 inferential statistics 课程
- 推断统计: Duke University
- 推断统计: University of Amsterdam
- Modern Statistics for Data-Driven Decision-Making: Arizona State University
- 统计基础: Meta
- Foundations of Probability and Statistics: University of Colorado Boulder
- 贝叶斯统计: University of California, Santa Cruz
- 用 Python 进行统计: University of Michigan
- The Power of Statistics: Google
- Statistics and Applied Data Analysis: University of Colorado Boulder
- Regression Analysis: Simplify Complex Data Relationships: Google
