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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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    IBM

    Generative AI Advance Fine-Tuning for LLMs

    Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, Model Evaluation, Reinforcement Learning, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    119 reviews

    Intermediate · Course · 1 - 4 Weeks

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    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 2

    Skills you'll gain: Probability, Simulations, Advanced Mathematics, Probability & Statistics, Probability Distribution, Statistical Methods, Mathematical Theory & Analysis, Sampling (Statistics), Mathematical Modeling, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
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    40 reviews

    Mixed · Course · 1 - 3 Months

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    Illinois Tech

    Advanced Statistical Techniques for Data Science

    Skills you'll gain: Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Data Cleansing, Regression Analysis, Analytics, Data Analysis, Logistic Regression, Machine Learning, R Programming, Data Preprocessing, Statistical Modeling, Data Validation, Statistical Methods, R (Software), Data Mining, Statistical Programming

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    46 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Universidade de São Paulo

    Estatística não-paramétrica para a tomada de decisão

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Statistical Methods, Data-Driven Decision-Making, Quantitative Research, Statistical Analysis, Decision Making, Probability Distribution

    4.4
    Rating, 4.4 out of 5 stars
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    139 reviews

    Intermediate · Course · 1 - 3 Months

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    Johns Hopkins University

    Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)

    Skills you'll gain: Patient Safety, Performance Measurement, Data Analysis, Value-Based Care, Continuous Quality Improvement (CQI), Data Analysis Software, Health Policy, Data Quality, Descriptive Statistics, Data Integration, Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
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    96 reviews

    Mixed · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
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    106 reviews

    Advanced · Course · 1 - 4 Weeks

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    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Model Deployment, Data Ethics, Data Preprocessing, Machine Learning, Computer Programming, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    161 reviews

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Advanced Deployment Scenarios with TensorFlow

    Skills you'll gain: Model Deployment, Federated Learning, Tensorflow, Transfer Learning, Model Evaluation, Machine Learning, Information Privacy, Application Programming Interface (API), Artificial Neural Networks, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
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    510 reviews

    Intermediate · Course · 1 - 4 Weeks

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    SAS

    Statistical Thinking for Industrial Problem Solving, presented by JMP

    Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
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    99 reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Statistics For Data Science

    Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

    4
    Rating, 4 out of 5 stars
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    41 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    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

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    Imperial College London

    Validity and Bias in Epidemiology

    Skills you'll gain: Research Design, Epidemiology, Data Collection, Biostatistics, Research Methodologies, Public Health and Disease Prevention, Regression Analysis, Statistical Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    252 reviews

    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

  • Generative AI Advance Fine-Tuning for LLMs : IBM
  • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
  • Advanced Statistical Techniques for Data Science: Illinois Tech
  • Estatística não-paramétrica para a tomada de decisão: Universidade de São Paulo
  • Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI): Johns Hopkins University
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Advanced Deployment Scenarios with TensorFlow: DeepLearning.AI
  • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
  • Statistics For Data Science: Coursera

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