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.

Scrimba
Skills you'll gain: Open Source Technology, LLM Application, Responsible AI, Generative AI, Web Applications, Large Language Modeling, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

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

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

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: LLM Application, Large Language Modeling, Performance Tuning, Generative AI, Generative Model Architectures
Intermediate · Project · Less Than 2 Hours

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: Matplotlib, Data Visualization, Predictive Modeling, Scientific Visualization, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Data Manipulation, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistics, Probability & Statistics, Python Programming
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Statistical Methods, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Data Science, Statistical Inference, Predictive Modeling, Probability & Statistics, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks

Northeastern 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
Mixed · Course · 1 - 3 Months

Duke University
Skills you'll gain: Microsoft Azure, Large Language Modeling, OpenAI, Application Deployment, Prompt Engineering, Application Development, Application Programming Interface (API), GitHub, Automation, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills 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
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Amazon Elastic Compute Cloud, Continuous Deployment, Continuous Integration, Debugging
Intermediate · Course · 1 - 4 Weeks