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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.


More to explore:

Popular Causal Inference Courses and Certifications


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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

  • Status: Free Trial
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    Kennesaw State University

    Six Sigma Tools for Improve and Control

    Skills you'll gain: Six Sigma Methodology, Process Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Lean Six Sigma, Kaizen Methodology, Quality Improvement, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Process Capability, Project Management, Quality Management, Cost Benefit Analysis, Statistical Inference, Document Control

    4.7
    Rating, 4.7 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 3 Months

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    Duke University

    Think Again III: How to Reason Inductively

    Skills you'll gain: Deductive Reasoning, Probability, Sampling (Statistics), Sample Size Determination, Correlation Analysis, Case Studies, Scientific Methods

    4.6
    Rating, 4.6 out of 5 stars
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    455 reviews

    Beginner · 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

    Detect & Respond to Mobile AI Threats

    Skills you'll gain: Mobile Security, AI Security, Threat Detection, Security Controls, Exploit development, Threat Modeling, Hardening, Endpoint Security, Artificial Intelligence, Mobile Development Tools, Deep Learning, Prompt Engineering, Incident Response, Information Privacy

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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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

  • Status: Free Trial
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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

  • Status: Free Trial
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    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Regression Analysis, Data Cleansing, Correlation Analysis, Data Preprocessing, Matplotlib, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Statistical Inference, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    202 reviews

    Intermediate · Course · 1 - 3 Months

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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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    639 reviews

    Intermediate · Specialization · 3 - 6 Months

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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

  • Status: Free Trial
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    DeepLearning.AI

    Applied Statistics for Data Analytics

    Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), Large Language Modeling, Spreadsheet Software

    4.9
    Rating, 4.9 out of 5 stars
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    51 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Fine-Tune & Optimize Generative AI Models: Coursera
  • Six Sigma Tools for Improve and Control: Kennesaw State University
  • Think Again III: How to Reason Inductively: Duke University
  • Probability and Statistics: To p or not to p?: University of London
  • Detect & Respond to Mobile AI Threats: Coursera
  • Practical Time Series Analysis: The State University of New York
  • Production Machine Learning Systems: Google Cloud
  • AI for Brand Visibility: Coursera
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • Introducción a la inteligencia artificial: Universidad Nacional Autónoma de México

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