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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


  • Status: New
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    P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Data Science for Health Research

    Skills you'll gain: R (Software), Model Evaluation, Statistical Modeling, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistics, Scripting, Statistical Hypothesis Testing, Package and Software Management, Data Import/Export

    5
    Rating, 5 out of 5 stars
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    11 reviews

    Beginner · Specialization · 1 - 3 Months

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    DeepLearning.AI

    Introduction to On-Device AI

    Skills you'll gain: Model Deployment, Performance Testing, Android Development, Transfer Learning, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Hardware Architecture, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence

    4.3
    Rating, 4.3 out of 5 stars
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    23 reviews

    Beginner · Project · Less Than 2 Hours

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    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

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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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    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

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    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: Free Trial
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    Scrimba

    Open-source AI Models

    Skills you'll gain: Hugging Face, Model Deployment, Open Source Technology, Responsible AI, Web Applications, Large Language Modeling, Artificial Intelligence

    4.8
    Rating, 4.8 out of 5 stars
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    32 reviews

    Intermediate · Course · 1 - 4 Weeks

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    LearnKartS

    Introduction to AI and Machine Learning

    Skills you'll gain: AWS SageMaker, Data Preprocessing, Computer Vision, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence, Model Deployment

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

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    R

    Rice University

    Einführung in die Datenanalyse mit Excel

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

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
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    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free
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    DeepLearning.AI

    Carbon Aware Computing for GenAI Developers

    Skills you'll gain: Google Cloud Platform, Cloud Computing, Applied Machine Learning, Datamaps, Model Deployment, Cloud Services, Spatial Data Analysis, Machine Learning, Real Time Data

    4.7
    Rating, 4.7 out of 5 stars
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    10 reviews

    Beginner · Project · Less Than 2 Hours

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

  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Data Science for Health Research: University of Michigan
  • Introduction to On-Device AI: DeepLearning.AI
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Generative AI: Foundations and Concepts: Northeastern University
  • R을 사용한 확률 및 데이터 소개: Duke University
  • End to End LLMs with Azure: Duke University
  • Open-source AI Models: Scrimba
  • Introduction to AI and Machine Learning: LearnKartS
  • Einführung in die Datenanalyse mit Excel: Rice University

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