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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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    Coursera

    PCB/CAD Design – Signal Routing

    Skills you'll gain: AI Security, USB, Threat Modeling, Model Deployment, Electronic Hardware, CI/CD, Security Engineering, Routing Protocols, Electronics Engineering, Schematic Diagrams, Verification And Validation, Design Software, Technical Design, Differential Equations, Business Strategies

    Intermediate · Course · 1 - 4 Weeks

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    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

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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

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    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

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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 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

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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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    Dartmouth College

    Machine Learning with Neural Networks

    Skills you'll gain: Bayesian Network, Artificial Neural Networks, Convolutional Neural Networks, Deep Learning, Tensorflow, Machine Learning, Model Evaluation, Network Architecture, Algorithms, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Automate, Evaluate and Deploy ML Models Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making

    Advanced · 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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    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 Systems Across Lifecycle Stages

    Skills you'll gain: AI Security, Threat Modeling, MITRE ATT&CK Framework, Application Security, Security Engineering, Security Controls, Responsible AI, MLOps (Machine Learning Operations), Cybersecurity, Model Deployment, Data Security, Threat Detection, Artificial Intelligence and Machine Learning (AI/ML), Vulnerability Assessments, Application Lifecycle Management

    Intermediate · Course · 1 - 4 Weeks

Searches related to causal inference

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

  • PCB/CAD Design – Signal Routing: Coursera
  • Practical Time Series Analysis: The State University of New York
  • Production Machine Learning Systems: Google Cloud
  • AI for Brand Visibility: Coursera
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Optimize Java Memory for ML Performance: Coursera
  • Secure AI: Threat Model & Test Endpoints: Coursera
  • Machine Learning with Neural Networks: Dartmouth College
  • Automate, Evaluate and Deploy ML Models Confidently: Coursera
  • Machine Learning: Clustering & Retrieval: University of Washington

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