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Explore the Causal Inference Course Catalog
- Status: Free Trial
Imperial College London
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Probability Distribution, Statistical Analysis, Statistics, Quantitative Research, Data Analysis, Data Quality, Statistical Inference, R Programming, Public Health, Descriptive Statistics, Data Manipulation, Data Import/Export
- Status: Free Trial
Imperial College London
Skills you'll gain: Biostatistics, Public Health, Time Series Analysis and Forecasting, Regression Analysis, Statistical Analysis, R Programming, Predictive Modeling, Statistical Modeling, Data Analysis, Statistical Methods, Statistical Hypothesis Testing
- Status: Preview
Northwestern University
Skills you'll gain: Image Analysis, Computer Vision, Visualization (Computer Graphics), Color Theory, Data Structures, Matlab, Spatial Analysis, Bayesian Network
- Status: NewStatus: Preview
Northeastern University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Visualization, Statistical Methods, Statistical Reporting, Data Presentation, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Estimation, Data Analysis
- Status: Free Trial
University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Methods, Statistical Analysis, Probability & Statistics, Quantitative Research, Probability Distribution, Statistical Inference
- Status: Free Trial
University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Modeling, Markov Model, Bayesian Statistics, Statistical Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Probability & Statistics, Simulations, Sampling (Statistics)
- Status: Free Trial
Wesleyan University
Skills you'll gain: Regression Analysis, SAS (Software), Statistical Analysis, Statistical Modeling, Data Analysis, Statistical Programming, Correlation Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Python Programming
- Status: Free Trial
Imperial College London
Skills you'll gain: Epidemiology, Data Collection, Biostatistics, Data Validation, Research Design, Public Health, Correlation Analysis, Statistical Methods, Research Methodologies, Statistical Analysis
- Status: Free Trial
Imperial College London
Skills you'll gain: Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Probability & Statistics, Predictive Modeling, Data Analysis Software, Public Health, Biostatistics, Data Processing
- Status: Free Trial
University of Alberta
Skills you'll gain: Reinforcement Learning, Supervised Learning, Deep Learning, Machine Learning, Feature Engineering, Artificial Neural Networks, Probability Distribution, Statistical Methods
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Methods, Statistical Inference, Public Health, Quantitative Research, Science and Research, Scientific Methods
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Sample Size Determination, Risk Analysis, Probability Distribution
In summary, here are 10 of our most popular causal inference courses
- Introduction to Statistics & Data Analysis in Public Health: Imperial College London
- Survival Analysis in R for Public Health: Imperial College London
- Fundamentals of Digital Image and Video Processing: Northwestern University
- Engineering Probability and Statistics Part 2: Northeastern University
- Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
- Bayesian Statistics: Mixture Models: University of California, Santa Cruz
- Regression Modeling in Practice: Wesleyan University
- Validity and Bias in Epidemiology: Imperial College London
- Logistic Regression in R for Public Health: Imperial College London
- Prediction and Control with Function Approximation: University of Alberta