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.

DeepLearning.AI
Skills you'll gain: Application Deployment, Performance Testing, Android Development, Image Analysis, PyTorch (Machine Learning Library), Embedded Software, Deep Learning, Tensorflow, Hardware Architecture, Artificial Neural Networks, Real Time Data, Artificial Intelligence
Beginner · Project · Less Than 2 Hours

LearnKartS
Skills you'll gain: AWS SageMaker, Computer Vision, Applied Machine Learning, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

University 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
Mixed · Course · 1 - 3 Months

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
Intermediate · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: LLM Application, Large Language Modeling, Performance Tuning, Generative AI, Generative Model Architectures
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Hypothesis Testing, Lean Six Sigma, Statistical Analysis, Continuous Improvement Process, Data Analysis, Process Improvement, Process Capability, Quality Control, Root Cause Analysis, Statistical Inference, Regression Analysis, Correlation Analysis
Beginner · Course · 1 - 3 Months

Skills 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
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Inference
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Google Cloud Platform, Cloud Computing, Generative AI, Cloud Management, Applied Machine Learning, Spatial Data Analysis, Machine Learning, Real Time Data
Beginner · Project · Less Than 2 Hours

University of California San Diego
Skills you'll gain: Bioinformatics, Molecular Biology, Infectious Diseases, Computational Thinking, Life Sciences, Medical Science and Research, Microbiology
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning
Intermediate · Course · 1 - 3 Months