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.

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

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, Bayesian Statistics, Data Analysis, Statistical Analysis, Probability, R Programming, Statistics, Quantitative Research, Descriptive Statistics, Statistical Inference
Beginner · Course · 1 - 3 Months

Scrimba
Skills you'll gain: Hugging Face, Model Deployment, Open Source Technology, Responsible AI, Web Applications, Large Language Modeling, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Dimensionality Reduction, Network Architecture, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks

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

Skills you'll gain: Microsoft Azure, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, Cloud Deployment, Data Pipelines, Application Deployment, Data Store, Data Management, Virtual Machines, Cloud Infrastructure, Machine Learning Algorithms, Development Environment
Intermediate · Course · 1 - 4 Weeks
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 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