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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 California, Santa Cruz

    Bayesian Statistics: Capstone Project

    Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Statistical Inference, Sampling (Statistics), Model Evaluation, Probability Distribution

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    S

    SAS

    Introduction to Statistical Analysis: Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
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    175 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    A

    American Psychological Association

    Intro to Null Hypothesis Significance Testing with z-test

    Skills you'll gain: Statistical Hypothesis Testing, Sample Size Determination, Probability & Statistics, Probability Distribution, Statistical Methods, Quantitative Research, Statistical Inference, Sampling (Statistics), Statistical Analysis, Probability, Data Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Supervised Learning, Autoencoders, Feature Engineering, Classification Algorithms, Data Cleansing, Keras (Neural Network Library), Statistical Inference, Time Series Analysis and Forecasting, Generative Adversarial Networks (GANs), Data Preprocessing, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Applied Machine Learning, Scikit Learn (Machine Learning Library), Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    R

    Rice University

    Linear Regression for Business Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Model Evaluation, Estimation, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    1.4K reviews

    Mixed · Course · 1 - 4 Weeks

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    U

    University of Cape Town

    Understanding Clinical Research: Behind the Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Clinical Research, Biostatistics, Statistical Analysis, Statistics, Data Analysis, Statistical Inference, Quantitative Research, Descriptive Statistics, Probability Distribution, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    Imperial College London

    Epidemiology for Public Health

    Skills you'll gain: Epidemiology, Diagnostic Tests, Research Design, Public Health and Disease Prevention, Biostatistics, Clinical Research, Public Health, Preventative Care, Data Collection, Research Methodologies, Program Evaluation, Risk Analysis, Quantitative Research, Health Policy, Statistical Analysis, Research, Sample Size Determination, Regression Analysis, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    1.3K reviews

    Beginner · Specialization · 1 - 3 Months

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    T

    The State University of New York

    Practical Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
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    1.7K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Optimize Java Memory for ML Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
    Free Trial
    C

    Coursera

    AI for Brand Visibility

    Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Marketing Design, Web Content Accessibility Guidelines, Marketing Materials, Brand Awareness, Marketing, Advertising Campaigns, Branding, Search Engine Optimization, Marketing Analytics, AI Workflows, Large Language Modeling

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Theoretical Bases of Health and Injury Management

    Skills you'll gain: Kinesiology, Applied Machine Learning, Bayesian Network, Machine Learning, Data-Driven Decision-Making, Epidemiology, Load Balancing, Health Education, Data Integration, Systems Engineering, Psychological Evaluations

    Beginner · Course · 1 - 4 Weeks

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

  • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Introduction to Statistical Analysis: Hypothesis Testing: SAS
  • Intro to Null Hypothesis Significance Testing with z-test: American Psychological Association
  • IBM Machine Learning: IBM
  • Linear Regression for Business Statistics: Rice University
  • Understanding Clinical Research: Behind the Statistics: University of Cape Town
  • Epidemiology for Public Health: Imperial College London
  • Practical Time Series Analysis: The State University of New York
  • Optimize Java Memory for ML Performance: Coursera

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