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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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    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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    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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    293 reviews

    Beginner · Course · 1 - 3 Months

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    University of Amsterdam

    Basic Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistics, Scientific Methods, Quantitative Research, Data Analysis Software

    4.6
    Rating, 4.6 out of 5 stars
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    4.6K reviews

    Beginner · Course · 1 - 3 Months

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    Imperial College London

    Statistical Analysis with R for Public Health

    Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistics, Public Health, Statistical Inference, Probability & Statistics, Time Series Analysis and Forecasting

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

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    Universidad Nacional Autónoma de México

    Introducción a la inteligencia artificial

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Bayesian Network, Applied Machine Learning, Data-Driven Decision-Making, Machine Learning Methods, Machine Learning, Computational Logic, Program Development, Machine Learning Algorithms, Statistical Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Computational Thinking, Creativity, Generative AI, Responsible AI, Social Sciences, Bioinformatics

    4.6
    Rating, 4.6 out of 5 stars
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    637 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Duke University

    Linear Regression and Modeling

    Skills you'll gain: Regression Analysis, R (Software), Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
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    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Advanced Deployment, MLOps, and Generative AI in Azure

    Skills you'll gain: CI/CD, Real Time Data

    Advanced · Course · 1 - 4 Weeks

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    Google Cloud

    Production Machine Learning Systems

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

    4.6
    Rating, 4.6 out of 5 stars
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    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Alberta Machine Intelligence Institute

    Introduction to Generative AI: Concepts and Techniques

    Skills you'll gain: Prompt Engineering, Generative AI, Prompt Patterns, Large Language Modeling, LLM Application, Open Source Technology, Responsible AI, Artificial Intelligence, Natural Language Processing, Artificial Neural Networks, Computer Architecture, Information Privacy, Application Programming Interface (API)

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Michigan

    Sleep: Neurobiology, Medicine, and Society

    Skills you'll gain: Substance Abuse, Mental Health, Neurology, Mathematical Modeling, Patient Safety, Physiology, Cardiology, Accident Prevention, Public Health, Pharmacology, Public Health and Disease Prevention, Biology

    4.8
    Rating, 4.8 out of 5 stars
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    820 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Illinois Tech

    Advanced Statistical Techniques for Data Science

    Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Regression Analysis, Data Cleansing, Analytics, Data Analysis, Machine Learning, R Programming, Data Science, R (Software), Statistical Modeling, Data Manipulation, Statistical Methods, Data Mining, Data Validation, Feature Engineering

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    45 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of London

    Statistics for International Business

    Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Presentation, Statistics, Estimation, Probability, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Data Visualization, Data Analysis, Histogram, Graphing

    3.8
    Rating, 3.8 out of 5 stars
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    314 reviews

    Mixed · 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

  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
  • Pre-MBA Statistics: IIMA - IIM Ahmedabad
  • Basic Statistics: University of Amsterdam
  • Statistical Analysis with R for Public Health: Imperial College London
  • Introducción a la inteligencia artificial: Universidad Nacional Autónoma de México
  • Linear Regression and Modeling : Duke University
  • Advanced Deployment, MLOps, and Generative AI in Azure: Packt
  • Production Machine Learning Systems: Google Cloud
  • Introduction to Generative AI: Concepts and Techniques: Alberta Machine Intelligence Institute
  • Sleep: Neurobiology, Medicine, and Society: University of Michigan

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