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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


  • Status: Free Trial
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    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, Image Analysis, Model Evaluation, Model Training, Artificial Neural Networks, Fine-tuning, Computer Vision, Model Optimization, Data Preprocessing, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
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    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
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    Coursera

    Aerial Image Segmentation with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Fine-tuning, Transfer Learning, Model Evaluation, Image Analysis, Model Training, Computer Vision, Applied Machine Learning, Deep Learning, Python Programming

    4
    Rating, 4 out of 5 stars
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    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    U

    University of Leeds

    Statistical Methods

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Statistical Software, R (Software), Probability & Statistics, Data Collection, Statistics, Data Literacy, Statistical Inference, R Programming, Statistical Programming, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Statistical Reporting, Data Visualization Software

    4.8
    Rating, 4.8 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Status: Free Trial
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    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Statistics, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Software, Statistical Hypothesis Testing, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    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
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    10 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    Edureka

    Mastering AI: Neural Nets, Vision System, Speech Recognition

    Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Plot (Graphics), Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, AI Personalization, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Statistical Methods, Machine Learning, Applied Machine Learning, Digital Signal Processing, Statistical Inference

    3.8
    Rating, 3.8 out of 5 stars
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    8 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    From Data to Decisions: Finding Patterns with AI

    Skills you'll gain: Statistical Methods, AI literacy, Statistical Analysis, Data Literacy, Data Visualization, Generative AI, Statistical Visualization, Statistical Hypothesis Testing, Data Presentation, Data Storytelling, Box Plots, Data Analysis, Probability & Statistics, Plot (Graphics), Data-Driven Decision-Making, Exploratory Data Analysis, Artificial Intelligence, Histogram, Technical Communication, Statistical Inference

    4.9
    Rating, 4.9 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
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    Arm

    Getting Started with Machine Learning at the Edge on Arm

    Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Embedded Software, Data Preprocessing, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Machine Learning Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    O

    O.P. Jindal Global University

    Statistical Methods for Psychological Research

    Skills you'll gain: Correlation Analysis, Research Design, Regression Analysis, Science and Research, Statistical Methods, Research Methodologies, Statistical Hypothesis Testing, Analysis, Statistical Inference, Statistical Analysis, Data Literacy, Statistics, Quantitative Research, Probability & Statistics, Descriptive Statistics, Statistical Modeling, Probability Distribution, Probability

    Build toward a degree

    Beginner · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Foundations of Open Generative AI Engineering

    Skills you'll gain: Generative Model Architectures, Large Language Modeling, Generative AI, LLM Application, Open Source Technology, Model Evaluation, Risking, Scalability, Data Security

    Intermediate · Course · 1 - 4 Weeks

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

  • Building and Training Neural Networks with PyTorch: Packt
  • Aerial Image Segmentation with PyTorch : Coursera
  • Statistical Methods: University of Leeds
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Linear Regression Modeling for Health Data: University of Michigan
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka
  • From Data to Decisions: Finding Patterns with AI: Vanderbilt University
  • Applied Object Detection & Segmentation: Coursera
  • Getting Started with Machine Learning at the Edge on Arm: Arm

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