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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
    U

    University of Colorado Boulder

    Statistical Inference and Hypothesis Testing in Data Science Applications

    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)

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    50 reviews

    Intermediate · Course · 1 - 3 Months

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    I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Sampling (Statistics), R Programming, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • 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
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    2.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

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    O

    O.P. Jindal Global University

    Econometrics - Theory and Practice

    Skills you'll gain: Econometrics, Regression Analysis, Probability & Statistics, Statistical Modeling, Statistical Analysis, Correlation Analysis, Time Series Analysis and Forecasting, Economics, Statistical Inference, Probability Distribution, Logistic Regression, Model Evaluation

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • Status: New
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    D

    Duke University

    Data Modeling and Prediction with R

    Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistics, Data Analysis, Probability & Statistics, Statistical Inference

    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 Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution

    4.2
    Rating, 4.2 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    488 reviews

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Deploy and Scale AI Models with Cloud Run

    Skills you'll gain: Google Cloud Platform, Model Deployment, Serverless Computing, Cloud Deployment, Generative AI, MLOps (Machine Learning Operations), Containerization, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Research Design, Image Analysis, Experimentation, Neurology, Data Preprocessing, Statistical Analysis, Statistical Modeling, Statistical Inference, Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    849 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Michigan

    Mindware: Critical Thinking for the Information Age

    Skills you'll gain: Data Analysis, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Statistical Inference, Probability, Correlation Analysis, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 3 Months

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

  • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
  • Bayesian Computational Statistics: Illinois Tech
  • Data Science in Real Life: Johns Hopkins University
  • Statistical Learning: Illinois Tech
  • Econometrics - Theory and Practice: O.P. Jindal Global University
  • Data Modeling and Prediction with R: Duke University
  • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Deploy and Scale AI Models with Cloud Run: Google Cloud
  • Principles of fMRI 1: Johns Hopkins University

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