Causal Inference Courses
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.
Popular Causal Inference Courses and Certifications
Status: Free TrialSkills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, Model Evaluation, Reinforcement Learning, Machine Learning, Probability Distribution
Status: PreviewJohns Hopkins University
Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis
Status: PreviewÉcole Polytechnique
Skills you'll gain: Probability, Probability Distribution, Statistics, Statistical Inference, Simulations, Mathematical Theory & Analysis, Calculus
Coursera
Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Data Science, R Programming, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Model Evaluation, Feature Engineering
Google Cloud
Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Transfer Learning, Embeddings
Status: PreviewUniversidad Nacional Autónoma de México
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics
Status: Free TrialUniversity of Amsterdam
Skills you'll gain: Sociology, Social Sciences, Systems Thinking, Economics, Policy, and Social Studies, Cultural Diversity, Policy Analysis, Environmental Science, Spatial Analysis, Case Studies, Human Centered Design, Public Policies, Qualitative Research, Sustainable Engineering, Environment and Resource Management, European History
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Estimation, Probability, Model Evaluation, Simulation and Simulation Software, Mathematical Modeling, Performance Tuning, Computational Thinking, Electrical Power
Status: PreviewPeking University
Skills you'll gain: Statistical Hypothesis Testing, SPSS, SPSS (Software), Statistical Methods, Descriptive Statistics, Statistical Analysis, Regression Analysis, Probability & Statistics, Biostatistics, Correlation Analysis, Statistical Inference, Sampling (Statistics), Data Analysis Software, Data Manipulation
Status: Free TrialIllinois Tech
Skills you'll gain: Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Data Cleansing, Regression Analysis, Analytics, Data Analysis, Logistic Regression, Machine Learning, R Programming, Data Preprocessing, Statistical Modeling, Data Validation, Statistical Methods, R (Software), Data Mining, Statistical Programming
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference
Searches related to causal inference
In summary, here are 10 of our most popular causal inference courses
- Generative AI Advance Fine-Tuning for LLMs :Â IBM
- Introduction to Uncertainty Quantification:Â Johns Hopkins University
- Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
- Statistics For Data Science:Â Coursera
- Modern Regression Analysis in R:Â University of Colorado Boulder
- Transformer Models and BERT Model:Â Google Cloud
- EstadÃstica y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
- Unraveling the Cycling City:Â University of Amsterdam
- Battery State-of-Charge (SOC) Estimation:Â University of Colorado Boulder
- 医å¦ç»Ÿè®¡å¦ä¸ŽSPSS软件（基础篇）: Peking University
