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: 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

Duke University
Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Model Deployment, Prompt Patterns, Microsoft Azure, OpenAI API, Large Language Modeling, OpenAI, Application Deployment, Embeddings, Application Programming Interface (API), Scalability
Intermediate · Course · 1 - 4 Weeks

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

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

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

University of Michigan
Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking
Intermediate · Specialization · 3 - 6 Months

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

DeepLearning.AI
Skills you'll gain: LLM Application, Large Language Modeling, Transfer Learning, Performance Tuning, Generative AI
Intermediate · Project · Less Than 2 Hours
Rice University
Skills you'll gain: Microsoft Excel, Graphing, Spreadsheet Software, Pivot Tables And Charts, Excel Formulas, Data Analysis, Data Import/Export, Scatter Plots, Histogram, Data Presentation, Data Manipulation
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Prompt Engineering, Multimodal Prompts, Generative AI, Vision Transformer (ViT), Image Analysis, Computer Vision, AI Personalization, AI Workflows
Beginner · Project · Less Than 2 Hours

University of Illinois Urbana-Champaign
Skills you'll gain: Statistical Inference, Sampling (Statistics), Descriptive Statistics, Probability Distribution, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Microsoft Excel, Statistical Visualization, Graphing, Influencing
Beginner · Course · 1 - 3 Months

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