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Explore the Causal Inference Course Catalog
- Status: Free Trial
University of Minnesota
Skills you'll gain: Time Series Analysis and Forecasting, Predictive Modeling, Regression Analysis, Microsoft Excel, Forecasting, Pivot Tables And Charts, Data Transformation, Trend Analysis, Data Cleansing, Statistical Methods, Performance Metric
- 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, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling, Sample Size Determination
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Probability Distribution
University of Michigan
Skills you'll gain: Data Analysis, Statistics, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Probability, Correlation Analysis
- 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
The State University of New York
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Correlation Analysis, Regression Analysis, Descriptive Statistics, Statistical Inference, Software Installation
- 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
- 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: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Probability, Probability Distribution, Statistical Analysis, Biostatistics
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Statistical Analysis, Quantitative Research, Medical Science and Research, Probability & Statistics, Public Health
- Status: Free Trial
University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Probability Distribution
In summary, here are 10 of our most popular causal inference courses
- Introduction to Predictive Modeling:Â University of Minnesota
- Survival Analysis in R for Public Health:Â Imperial College London
- Advanced Statistics for Data Science:Â Johns Hopkins University
- Bayesian Statistics:Â Duke University
- Mindware: Critical Thinking for the Information Age :Â University of Michigan
- Probabilistic Graphical Models 1: Representation:Â Stanford University
- Practical Time Series Analysis:Â The State University of New York
- Validity and Bias in Epidemiology:Â Imperial College London
- Bayesian Statistics: Mixture Models:Â University of California, Santa Cruz
- Mathematical Biostatistics Boot Camp 1:Â Johns Hopkins University