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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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    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

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    University of Michigan

    Understanding and Visualizing Data with Python

    Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Seaborn, Probability & Statistics, Jupyter, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming

    4.7
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    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Illinois at Urbana-Champaign

    Financial Management Graduate Certificate

    Skills you'll gain: Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Credit Risk, Project Closure, Machine Learning Algorithms, Business Strategy, Risk Management, Social Determinants Of Health, Revenue Recognition, Financial Auditing, Variance Analysis, Entrepreneurship, Data Governance, Generative AI, Supply And Demand, Statistical Inference

    Credit offered

    Graduate Certificate · 6 - 12 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

    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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    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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    Google Cloud

    AI Infrastructure: Networking Techniques

    Skills you'll gain: Google Cloud Platform, Virtual Networking, Cloud Infrastructure, Data Import/Export, Network Architecture, Identity and Access Management, Generative AI, Network Performance Management, Network Monitoring, General Networking, Network Protocols, Computer Networking, Network Security, Distributed Computing

    Intermediate · Course · 1 - 3 Months

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    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Beginner · 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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    Coursera

    Secure AI Systems Across Lifecycle Stages

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

    Intermediate · 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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    Universidad Nacional Autónoma de México

    Introducción a la inteligencia artificial

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Bayesian Network, Machine Learning Methods, Computational Logic, Program Development, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Game Theory, Theoretical Computer Science, Software Development, Generative AI, Social Sciences

    4.6
    Rating, 4.6 out of 5 stars
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    640 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea
  • Understanding and Visualizing Data with Python: University of Michigan
  • Financial Management Graduate Certificate: University of Illinois at Urbana-Champaign
  • Optimize Java Memory for ML Performance: Coursera
  • PCB/CAD Design – Signal Routing: Coursera
  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
  • AI Infrastructure: Networking Techniques: Google Cloud
  • Probability and Statistics: To p or not to p?: University of London
  • AI for Brand Visibility: Coursera
  • Secure AI Systems Across Lifecycle Stages: Coursera

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