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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.


More to explore:

Popular Causal Inference Courses and Certifications


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    U

    Universiteit Leiden

    Population Health: Study Design

    Skills you'll gain: Data Analysis, Research Design, Health Policy, Epidemiology, Statistical Analysis, Clinical Research, Biostatistics, Quantitative Research, Public Health, Health Care, Research Methodologies, Risk Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Duke University

    Operationalizing LLMs on Azure

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

    4.2
    Rating, 4.2 out of 5 stars
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    46 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

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

    5
    Rating, 5 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

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    National Taiwan University

    商管統計資料分析一 (Analytics for Business and Management (I))

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Business Analytics, Analytics, Data Analysis, Statistics, Statistical Methods, Feature Engineering, Statistical Inference, Data Transformation, Model Evaluation

    Intermediate · Course · 1 - 3 Months

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    N

    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Dimensionality Reduction, Network Architecture, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

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    D

    Duke University

    End to End LLMs with Azure

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Model Deployment, Prompt Patterns, Microsoft Azure, OpenAI API, Large Language Modeling, OpenAI, Application Deployment, Embeddings, Application Programming Interface (API), Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
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    D

    DeepLearning.AI

    Efficiently Serving LLMs

    Skills you'll gain: LLM Application, Large Language Modeling, Transfer Learning, Performance Tuning, Generative AI

    5
    Rating, 5 out of 5 stars
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    7 reviews

    Intermediate · Project · Less Than 2 Hours

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    Duke University

    R을 사용한 확률 및 데이터 소개

    Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Inference

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data-Oriented Python Programming and Debugging

    Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking

    4.3
    Rating, 4.3 out of 5 stars
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    15 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Northeastern University

    Engineering Probability and Statistics Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Population Health: Study Design: Universiteit Leiden
  • Operationalizing LLMs on Azure: Duke University
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
  • 商管統計資料分析一 (Analytics for Business and Management (I)): National Taiwan University
  • Generative AI: Foundations and Concepts: Northeastern University
  • End to End LLMs with Azure: Duke University
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Efficiently Serving LLMs: DeepLearning.AI
  • R을 사용한 확률 및 데이터 소개: Duke University
  • Data-Oriented Python Programming and Debugging: University of Michigan

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