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Explore the Causal Inference Course Catalog
- Status: Free Trial
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Public Health, Probability & Statistics, Statistical Analysis, Statistical Inference, Advanced Analytics, Statistical Modeling, Predictive Modeling, Data Analysis
- Status: Free Trial
University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)
- Status: Free Trial
University of Alberta
Skills you'll gain: Reinforcement Learning, Deep Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution
- Status: Free Trial
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Software, Descriptive Statistics
- Status: Free Trial
Imperial College London
Skills you'll gain: Biostatistics, Statistical Analysis, R Programming, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Import/Export, Statistical Hypothesis Testing, Descriptive Statistics
- 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
- Status: Free Trial
University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics
- Status: Free Trial
University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms
- Status: Free Trial
Imperial College London
Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Feature Engineering, Statistical Inference, Data Analysis Software, Public Health
- Status: Free Trial
Imperial College London
Skills you'll gain: Research Design, Epidemiology, Data Collection, Biostatistics, Research Methodologies, Research, Public Health, Correlation Analysis, Statistical Analysis
In summary, here are 10 of our most popular causal inference courses
- Probabilistic Graphical Models 1: Representation:Â Stanford University
- Multiple Regression Analysis in Public Health :Â Johns Hopkins University
- Statistical Inference and Hypothesis Testing in Data Science Applications:Â University of Colorado Boulder
- Prediction and Control with Function Approximation:Â University of Alberta
- Introduction to Probability and Data with R:Â Duke University
- Survival Analysis in R for Public Health:Â Imperial College London
- Mathematical Biostatistics Boot Camp 2:Â Johns Hopkins University
- Bayesian Statistics: Mixture Models:Â University of California, Santa Cruz
- Data – What It Is, What We Can Do With It: Johns Hopkins University
- Machine Learning: Clustering & Retrieval:Â University of Washington