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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


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    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    303 reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    Secure AI: Threat Model & Test Endpoints

    Skills you'll gain: Threat Modeling, AI Security, DevSecOps, Security Testing, Continuous Monitoring, CI/CD, Threat Detection, Secure Coding, MITRE ATT&CK Framework, DevOps, System Monitoring, Application Security, Continuous Integration, MLOps (Machine Learning Operations), Scripting, Unit Testing, Test Case, Prompt Engineering, Integration Testing

    Intermediate · Course · 1 - 4 Weeks

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    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Building Trustworthy AI

    Skills you'll gain: AI Security, Responsible AI, Threat Modeling, DevSecOps, Governance Risk Management and Compliance, Compliance Management, Data Ethics, Data Governance, Model Evaluation, Reinforcement Learning, Risk Management, Prompt Engineering, Governance, Regulatory Compliance, Security Testing, MLOps (Machine Learning Operations), MITRE ATT&CK Framework, Continuous Monitoring, Ethical Standards And Conduct, Vulnerability Assessments

    Intermediate · Specialization · 3 - 6 Months

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    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

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    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    2.4K reviews

    Mixed · Course · 1 - 3 Months

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    IIMA - IIM Ahmedabad

    Pre-MBA Statistics

    Skills you'll gain: Sampling (Statistics), Probability, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Literacy, Statistical Visualization, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Descriptive Statistics, Sample Size Determination, Data Analysis, Data Science

    4.6
    Rating, 4.6 out of 5 stars
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    294 reviews

    Beginner · Course · 1 - 3 Months

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    Google Cloud

    AI Infrastructure: Deployment Types

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Kubernetes, Cloud Deployment, Infrastructure As A Service (IaaS), Model Deployment, Network Performance Management, Application Deployment, Cloud Engineering, AI Orchestration, Containerization, Performance Tuning, Network Planning And Design, Distributed Computing, System Configuration

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Machine Learning, Model Evaluation, Distributed Computing, Scalability

    4.6
    Rating, 4.6 out of 5 stars
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    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
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    Universidade de São Paulo

    Econometria Básica Aplicada

    Skills you'll gain: Econometrics, Statistical Inference, Regression Analysis, Statistical Hypothesis Testing, Economics, Statistical Analysis, Correlation Analysis, Mathematical Modeling, Time Series Analysis and Forecasting, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
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    172 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Secure AI: Threat Model & Test Endpoints: Coursera
  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
  • Building Trustworthy AI: Coursera
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Machine Learning: Clustering & Retrieval: University of Washington
  • Pre-MBA Statistics: IIMA - IIM Ahmedabad
  • AI Infrastructure: Deployment Types: Google Cloud
  • Fine-Tune & Optimize Generative AI Models: Coursera

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