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.

Fundação Instituto de Administração
Skills you'll gain: Systems Thinking, Simulations, Simulation and Simulation Software, Process Flow Diagrams, Systems Analysis, Complex Problem Solving, Diagram Design, Growth Strategies, Market Dynamics, Business Modeling, Decision Making
Advanced · Course · 1 - 3 Months
Rice University
Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Excel Formulas, Data Visualization Software, Graphing, Data Analysis, Scatter Plots, Histogram, Data Manipulation, Data Import/Export
Mixed · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Bioinformatics, Diagnostic Tests, Model Evaluation, Molecular Biology, Infectious Diseases, Informatics, Network Analysis, Medical Science and Research, Computational Thinking, Biochemistry, Data Mining, Scientific Visualization, Life Sciences, Tree Maps, Microbiology, Biology, Data Analysis Software, Pharmacology, Science and Research
Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model
Intermediate · Specialization · 3 - 6 Months

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

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: LLM Application, Large Language Modeling, Transfer Learning, Performance Tuning, Generative AI
Intermediate · 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

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

Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing
Intermediate · 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

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