Causal inference courses can help you learn statistical techniques, experimental design, and observational study methods. You can build skills in identifying causal relationships, analyzing data sets, and interpreting results to inform decision-making. Many courses introduce tools like R, Python, and specialized software for conducting causal analyses, enabling you to apply these skills in real-world contexts such as public health, economics, and social sciences.

University of Michigan
Skills you'll gain: Histogram, Generative AI, Model Evaluation, Data Literacy, Data Visualization, Data Presentation, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Data Ethics, Experimentation, Data Science, Data-Driven Decision-Making, Research Design, Statistical Visualization, AI Enablement, Artificial Intelligence
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Data Visualization Software, Storytelling, Infographics, Data Integrity, Statistical Visualization, Drive Engagement, Presentations, Microsoft Excel, Design Elements And Principles
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Data Science, Statistical Methods, Statistical Analysis, Model Evaluation, Regression Analysis, Predictive Modeling, R Programming, Machine Learning, Classification Algorithms, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms
Build toward a degree
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Tableau Software, Dashboard, LinkedIn, Professional Networking, Data Visualization Software, Looker (Software), Technical Communication, Power BI, Stakeholder Engagement, Interviewing Skills
Beginner · Course · 1 - 4 Weeks