Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Explore the Causal Inference Course Catalog
- Status: New
University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Statistical Machine Learning, Probability, Data Science, Regression Analysis, Probability Distribution
Coursera Project Network
Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Deep Learning, Python Programming
- Status: Free Trial
Scrimba
Skills you'll gain: Data Ethics, Open Source Technology, Generative AI, Large Language Modeling, Web Development Tools, JavaScript Frameworks, Natural Language Processing
- Status: Free Trial
Illinois Tech
Skills you'll gain: R Programming, Regression Analysis, Statistical Inference, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Probability & Statistics, Linear Algebra, Mathematical Modeling, Supervised Learning
- Status: Free Trial
Vanderbilt University
Skills you'll gain: Statistical Methods, Exploratory Data Analysis, Data Visualization, Generative AI, Statistical Analysis, Histogram, Box Plots, Descriptive Statistics, Data Analysis, Artificial Intelligence, Statistical Inference
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Bayesian Network, Network Analysis, Simulations, Statistical Modeling, R Programming, Probability Distribution, Graph Theory, Probability & Statistics, Statistical Analysis, Machine Learning, Data Visualization, Statistical Hypothesis Testing
- Status: NewStatus: Free Trial
LearnKartS
Skills you'll gain: AWS SageMaker, Artificial Intelligence, Machine Learning, Applied Machine Learning, Amazon Elastic Compute Cloud, Computer Vision, Natural Language Processing, Amazon S3, Serverless Computing, Reinforcement Learning, Data Wrangling
- Status: Free Trial
University of Pennsylvania
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Scikit Learn (Machine Learning Library), MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning, Data Processing, Data Science, Python Programming, Data Transformation, Regression Analysis
- Status: Preview
Johns Hopkins University
Skills you'll gain: Probability, Failure Analysis, Bayesian Statistics, Probability & Statistics, Risk Modeling, Mathematical Modeling, Estimation, Numerical Analysis, Statistical Methods, Reliability, Statistical Inference, Analysis, Simulations, Applied Mathematics, Sampling (Statistics), Regression Analysis
- Status: NewStatus: Preview
University of Glasgow
Skills you'll gain: Research, Media and Communications, Peer Review, Social Sciences, Investigation, Probability & Statistics
- Status: Free Trial
University of Colorado System
Skills you'll gain: Advanced Mathematics, Anomaly Detection, Systems Of Measurement, Linear Algebra, Mathematical Modeling, Continuous Monitoring, Applied Mathematics, Numerical Analysis, Predictive Analytics, Statistical Methods, Probability & Statistics
In summary, here are 10 of our most popular causal inference courses
- Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
- Aerial Image Segmentation with PyTorch : Coursera Project Network
- Open-source AI Models: Scrimba
- Linear Regression: Illinois Tech
- From Data to Decisions: Finding Patterns with AI: Vanderbilt University
- Computational and Graphical Models in Probability: Johns Hopkins University
- Introduction to AI and Machine Learning: LearnKartS
- Statistics for Data Science Essentials: University of Pennsylvania
- Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera Project Network
- Introduction to Uncertainty Quantification: Johns Hopkins University