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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


  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Artificial Intelligence for Breast Cancer Detection

    Skills you'll gain: Mammography, Model Evaluation, Model Training, Artificial Intelligence, Bayesian Network, Image Analysis, AI Product Strategy, Machine Learning Methods, Oncology, Artificial Neural Networks, Medical Imaging, Machine Learning, Applied Machine Learning, Deep Learning, Epidemiology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    81 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    R

    Rice University

    Introduction à l'analyse de données à l'aide d'Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Data Analysis Software, Spreadsheet Software, Excel Formulas, Data Synthesis, Data Visualization Software, Graphing, Data Analysis, Scatter Plots, Histogram, Data Manipulation, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building Trustworthy AI

    Skills you'll gain: AI Security, Responsible AI, Threat Modeling, 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, Large Language Modeling, Vulnerability Assessments

    3.4
    Rating, 3.4 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Operationalizing LLMs on Azure

    Skills you'll gain: Large Language Modeling, LLM Application, Prompt Patterns, Prompt Engineering, Microsoft Azure, OpenAI API, Retrieval-Augmented Generation, OpenAI, Model Deployment, Risk Management Framework, MLOps (Machine Learning Operations), Embeddings, Application Deployment, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    51 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Razonamiento artificial

    Skills you'll gain: Bayesian Network, Computational Logic, Markov Model, Artificial Intelligence, Game Theory, Theoretical Computer Science, Logical Reasoning, Python Programming, Deductive Reasoning, Probability, Verification And Validation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    116 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Managing, Describing, and Analyzing Data

    Skills you'll gain: Sampling (Statistics), R (Software), Statistical Inference, Probability Distribution, R Programming, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Probability & Statistics, Statistical Software, Data Science, Statistics, Data Analysis, Statistical Programming, Statistical Analysis, Probability, Data Literacy, Statistical Visualization, Data Processing, Data Manipulation

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Agentic Workflows, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Decision Intelligence, Markov Model, Algorithms, Programming Principles, Probability & Statistics

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Statistics, Probability & Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Methods, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Data Science, Decision Tree Learning, Statistical Methods, Classification And Regression Tree (CART), Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Machine Learning Methods, Classification Algorithms, Supervised Learning, R Programming, Statistical Inference, Machine Learning Algorithms, Dimensionality Reduction

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression and Classification

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Model Evaluation, Regression Analysis, Predictive Modeling, R Programming, Statistical Inference, Logistic Regression, Model Training, Machine Learning, Classification Algorithms, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    The DMAIC Framework: Analyze, Improve, and Control Phase

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Hypothesis Testing, Lean Six Sigma, Statistical Analysis, Continuous Improvement Process, Data Analysis, Analysis, Process Analysis, Process Improvement, Quality Improvement, Statistical Methods, Quality Monitoring, Quality Control, Process Improvement and Optimization, Root Cause Analysis, Data-Driven Decision-Making, Statistics, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 3 Months

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

  • Using probability distributions for real world problems in R: Coursera
  • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
  • Introduction à l'analyse de données à l'aide d'Excel: Rice University
  • Building Trustworthy AI: Coursera
  • Operationalizing LLMs on Azure: Duke University
  • Razonamiento artificial: Universidad Nacional Autónoma de México
  • Managing, Describing, and Analyzing Data: University of Colorado Boulder
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • Statistical Learning for Data Science: University of Colorado Boulder

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