因果推理课程
因果推论课程可以帮助您学习统计技术、实验设计和观察研究方法。您可以掌握识别因果关系、分析 Data Set 和解释结果的技能，为决策提供依据。许多课程都会介绍 R、Python 等工具以及进行因果分析的专项软件，使您能够在公共卫生、经济学和社会科学等现实世界中应用这些技能。
热门因果推理课程和认证
您将获得的技能: Regression Analysis, Financial Forecasting, Model Evaluation, Data Presentation, Technical Communication, Exploratory Data Analysis, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability
Imperial College London
您将获得的技能: 公共卫生, 时间序列分析和预测, 数据整理, 探索性数据分析, 回归分析, 统计分析, 模型评估, 概率与统计, 描述性统计, 统计方法, R 程序设计, 逻辑回归, Model Evaluation, R（软件）, 生物统计学
Board Infinity
您将获得的技能: 人工智能, 案例研究, 数据驱动决策, 营销策略, 商业道德, 趋势分析, 数据伦理, 战略决策, 营销分析, 人工智能赋能, 战略规划
Vanderbilt University
您将获得的技能: Data Presentation, Regression Analysis, Statistical Analysis, Statistical Reporting, Correlation Analysis, Technical Communication, Probability & Statistics, Scatter Plots, Data Analysis, Predictive Analytics, Generative AI, Statistical Modeling
Fractal Analytics
您将获得的技能: 数据驱动决策, 讲故事, 交互式数据可视化, 数据可视化软件, 数据故事, 数据扫盲, 数据展示, 数据伦理, 推动参与, 故事板, 数据可视化
您将获得的技能: Data Presentation, Verbal Communication Skills, Presentations, Dashboard, Infographics, Storytelling, Data Visualization Software, Persuasive Communication, Communication, Non-Verbal Communication, Target Audience, Decision Making
University of Minnesota
您将获得的技能: 时间序列分析和预测, 模型评估, 回归分析, 数据转换, Excel 公式, 统计建模, 统计方法, 预测建模, 趋势分析, Microsoft Excel, 预测, Model Evaluation, 数据预处理, 透视表和图表, 预测分析
Johns Hopkins University
您将获得的技能: 公共卫生, 案例研究, 数学建模, 传染病, 预测建模, 流行病学, 政策分析, 卫生政策, 生物统计学
University of Colorado Boulder
您将获得的技能: 统计分析, 统计方法, 概率与统计, 数据分析, 统计资料, 概率分布, 概率
University of Pennsylvania
您将获得的技能: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming
Imperial College London
您将获得的技能: 探索性数据分析, 统计分析, 公共卫生, 模型评估, 回归分析, 概率与统计, 描述性统计, 统计建模, 数据预处理, 预测建模, 统计资料, R 程序设计, Model Evaluation, 逻辑回归
University of Pittsburgh
您将获得的技能: Data Storytelling, Interactive Data Visualization, Data Presentation, Plot (Graphics), Data Visualization Software, Data Visualization, Tableau Software, Spatial Analysis, Visualization (Computer Graphics), Statistical Visualization, Network Model, Dashboard, Matplotlib, Infographics, Heat Maps, Seaborn, Geospatial Information and Technology, Time Series Analysis and Forecasting, Network Analysis, Geospatial Mapping
总之，以下是 10 最受欢迎的 causal inference 课程
- Regression: Identify Assumptions & Apply Models: Coursera
- 用 R 进行公共卫生生存分析: Imperial College London
- 人工智能驱动的归因测试: Board Infinity
- From Data to Decisions: Making Predictions with AI: Vanderbilt University
- 数据故事: Fractal Analytics
- Data Storytelling - From Insight to Impact: Packt
- 预测建模简介: University of Minnesota
- 供决策者使用的传染病传播模型: Johns Hopkins University
- Data Science 和 AI 的概率基础: University of Colorado Boulder
- Intro to Predictive Analytics Using Python: University of Pennsylvania
