假设检验课程
假设检验课程可以帮助您学习统计意义、P 值、置信区间以及 Null Hypothesis 和 Alternative Hypothesis 的提出。您可以培养分析 Data Set、解释结果和根据统计证据做出明智决策的技能。许多课程都会介绍 R、Python 和 Excel 等工具，这些工具常用于进行 T-tests、Chi-Square Test 和 ANOVA 等测试，让您可以将知识应用到实际的数据分析任务中。
热门假设检验课程和认证
University of California, Santa Cruz
您将获得的技能: 抽样（统计）, 统计编程, 贝叶斯统计, 统计方法, R（软件）, 马尔可夫模型, 统计建模, 模拟, 概率分布, Model Evaluation, 统计分析, 数据分析, R 程序设计, 技术交流, 时间序列分析和预测, 模型评估, 统计报告, 统计推理, 数据展示
您将获得的技能: Data Visualization, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Model Training, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Data Preprocessing, Natural Language Processing, Predictive Modeling, Machine Learning, Unstructured Data, Data Analysis, Machine Learning Algorithms, Python Programming, Computer Science
Arizona State University
您将获得的技能: Experimentation, Research Design, Statistical Modeling, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Machine Learning Algorithms, Statistical Programming, Model Training, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis
您将获得的技能: Exploratory Data Analysis, Logistic Regression, Correlation Analysis, Applied Machine Learning, Model Evaluation, Data Modeling
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
John Wiley & Sons
您将获得的技能: Statistical Methods, Exploratory Data Analysis, Data Quality, Statistics, Data Analysis, Data Science, Statistical Analysis, Data Storage, Data Collection, Data Management, Data Pipelines, Statistical Machine Learning, Data-Driven Decision-Making, Calculus, Probability Distribution, Machine Learning, Linear Algebra
Coursera
您将获得的技能: Statistical Inference, Business Analytics, Data-Driven Decision-Making, Data Analysis, Regression Analysis, Estimation, Statistical Analysis, Statistical Methods, Correlation Analysis, Marketing Analytics, Data Validation, Program Evaluation
Johns Hopkins University
您将获得的技能: R（软件）, 统计方法, 无监督学习, 数据可视化, 降维, Ggplot2, 统计可视化, 绘图（图形）, 数据分析, 统计分析, R 程序设计, 制图, 数据可视化软件, 探索性数据分析
University of California, Santa Cruz
您将获得的技能: 统计编程, 统计方法, 贝叶斯统计, 概率分布, 统计建模, 统计资料, 马尔可夫模型, 统计分析, 数据分析, R 程序设计, 技术交流, 统计报告, 统计推理, 统计软件, 数据展示, 数据科学, 预测, 概率, 时间序列分析和预测, 概率与统计
Johns Hopkins University
您将获得的技能: 统计方法, 研究设计, 数据可视化, 描述性统计, 描述性分析, 分析, 统计资料, 数据扫盲, 研究方法, 数据展示, 定量研究
Duke University
您将获得的技能: 抽样（统计）, 贝叶斯统计, R（软件）, 统计方法, 描述性统计, 概率分布, 统计资料, 统计分析, 数据分析, R 程序设计, 统计软件, 概率, 概率与统计, 统计推理, 探索性数据分析
University of Washington
您将获得的技能: 模型优化, 监督学习, 统计方法, 机器学习方法, 图论, 网络分析, 决策树学习, 大数据, 统计资料, 无监督学习, 分析, 统计分析, 数据分析, R 程序设计, 数据科学, 应用机器学习, 机器学习, 统计推理, 分类算法, 预测分析
总之，以下是 10 最受欢迎的 hypothesis testing 课程
- 贝叶斯统计：顶点项目: University of California, Santa Cruz
- Naive Bayes 101: Resume Selection with Machine Learning: Coursera
- Classification and Planned Experiments: Arizona State University
- Statistics You Need to Know for Machine Learning: SAS
- Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
- Foundations of Data Science and Statistical Methods: John Wiley & Sons
- Uncover Causal Impacts Fast: Coursera
- 探索性数据分析: Johns Hopkins University
- 贝叶斯统计: University of California, Santa Cruz
- 数据--它是什么，我们能用它做什么: Johns Hopkins University
