Causal Inference Courses
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.
Popular Causal Inference Courses and Certifications
Status: Free TrialJohns Hopkins University
Skills you'll gain: Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Statistical Methods, Probability & Statistics, Machine Learning, Descriptive Statistics
Duke University
Skills you'll gain: LLM Application, Real Time Data, Large Language Modeling, Application Deployment, System Monitoring, Generative AI, Open Source Technology, Cross Platform Development, Application Programming Interface (API), Machine Learning
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Status: PreviewDuke University
Skills you'll gain: Microsoft Azure, Large Language Modeling, OpenAI, Application Deployment, Prompt Engineering, Application Development, Application Programming Interface (API), GitHub, Automation, Scalability
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Data Science, Statistical Programming, R Programming, Statistical Machine Learning, Advanced Analytics, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Statistical Methods, Sampling (Statistics), Regression Analysis, Statistical Inference, Predictive Modeling, Statistics
Status: Free TrialLearnKartS
Skills you'll gain: AWS SageMaker, Computer Vision, Applied Machine Learning, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence
Status: PreviewSkills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Artificial Neural Networks, Computer Vision, Artificial Intelligence, Supervised Learning, Deep Learning, Image Analysis, Machine Learning, Performance Tuning
Status: PreviewUniversity of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling, Statistical Inference
Status: PreviewDuke University
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Statistical Inference, R (Software), Probability Distribution, R Programming, Bayesian Statistics, Probability, Data Analysis, Statistical Analysis, Descriptive Statistics
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Time Series Analysis and Forecasting
Skills you'll gain: Snowflake Schema, Applied Machine Learning, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Processing, Data Science, Python Programming, Regression Analysis
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation
Searches related to causal inference
In summary, here are 10 of our most popular causal inference courses
- Modeling Data in the Tidyverse: Johns Hopkins University
- Local LLMs with llamafile: Duke University
- Using probability distributions for real world problems in R: Coursera
- End to End LLMs with Azure: Duke University
- Resampling, Selection and Splines: University of Colorado Boulder
- Introduction to AI and Machine Learning: LearnKartS
- Getting Started with Machine Learning at the Edge on Arm: Arm
- Cómo manejar datos faltantes: University of Maryland, College Park
- R을 사용한 확률 및 데이터 소개: Duke University
- Building and Training Neural Networks with PyTorch: Packt
