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  • Causal Inference

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 Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science in Real Life

    Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, Statistics, A/B Testing, Statistical Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R (Software)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    607 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Probability & Statistics, Regression Analysis, Predictive Modeling, Predictive Analytics, Data Science, Probability, Statistical Modeling, Bayesian Statistics, Data Analysis, Statistical Methods, Statistical Programming, Logistic Regression, Statistical Analysis, Applied Mathematics, Machine Learning, Python Programming, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, R (Software), Statistical Analysis, Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Model Evaluation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Regression Analysis, Statistical Inference, Statistical Analysis, R Programming, Probability, Markov Model, Debugging, Simulations, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Estimation for Data Science and AI

    Skills you'll gain: Probability & Statistics, Statistical Inference, Probability Distribution, Statistical Methods, Statistics, Applied Mathematics, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Theoretical Computer Science

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
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    89 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Hypothesis Testing in Public Health

    Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    650 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    B

    Ball State University

    Statistical Methods for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Probability Distribution, Statistical Methods, Probability, Sampling (Statistics), Statistical Analysis, Dimensionality Reduction, Data Science, Statistical Modeling, Bayesian Statistics, Statistical Inference, Simulations, R Programming

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Validity and Bias in Epidemiology

    Skills you'll gain: Research Design, Epidemiology, Data Collection, Biostatistics, Research Methodologies, Public Health and Disease Prevention, Regression Analysis, Statistical Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    252 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Deploy and Scale AI Models with Cloud Run

    Skills you'll gain: Google Cloud Platform, Serverless Computing, Model Deployment, Cloud Deployment, Generative AI, Cloud Applications, Cloud Services, Containerization, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Causal Information

    Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Decision Making, Health Policy, Random Forest Algorithm, Personalized Service, A/B Testing, Machine Learning, Online Advertising

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular causal inference courses

  • Data Science in Real Life: Johns Hopkins University
  • Inferential Statistics: University of Amsterdam
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
  • Bayesian Computational Statistics: Illinois Tech
  • Statistical Estimation for Data Science and AI: University of Colorado Boulder
  • Hypothesis Testing in Public Health : Johns Hopkins University
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Statistical Methods for Data Science: Ball State University
  • Validity and Bias in Epidemiology: Imperial College London

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