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.

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

DeepLearning.AI
Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation
Intermediate · Project · Less Than 2 Hours

American Psychological Association
Skills you'll gain: Statistical Hypothesis Testing, Quantitative Research, Statistical Software, Statistical Analysis, Data Analysis, Probability & Statistics, Analysis, Statistical Methods, Statistical Inference, Analytical Skills, Statistics, Psychology, Regression Analysis, Research
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Deployment, Performance Testing, Android Development, Transfer Learning, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Hardware Architecture, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence
Beginner · Project · Less Than 2 Hours

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

American Psychological Association
Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Quantitative Research, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistics, Data Analysis, Regression Analysis, Research Design, Research, Psychology
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis
Intermediate · Guided Project · Less Than 2 Hours

University of Colorado System
Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Mathematical Modeling, Applied Mathematics, Engineering Analysis, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Embedded Systems, Tensorflow, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Convolutional Neural Networks, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 3 Months

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

Duke University
Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming
Intermediate · Course · 1 - 4 Weeks