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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
    Free
    C

    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
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    Introduction to AI and Machine Learning

    Skills you'll gain: AWS SageMaker, Data Preprocessing, Computer Vision, Machine Learning Methods, AI Workflows, Machine Learning Algorithms, Applied Machine Learning, Natural Language Processing, Machine Learning, Data Wrangling, Amazon Web Services, Reinforcement Learning, Deep Learning, Artificial Intelligence, Model Training, Amazon Elastic Compute Cloud, Model Deployment, Amazon S3, Serverless Computing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Introduction to On-Device AI

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    28 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Statistical Analysis, Data Analysis, R (Software), Data Ethics, Advanced Analytics, Statistical Methods, Data Modeling, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Probability & Statistics, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Particle Filters (and Navigation)

    Skills you'll gain: Bayesian Network, Numerical Analysis, Markov Model, Estimation, Simulations, Integral Calculus, Matlab, Mathematical Modeling, Applied Mathematics, Simulation and Simulation Software, Algorithms, Brute-force attacks, Computer Programming Tools

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master Quality Models with CMMI: Analyze, Apply & Improve

    Skills you'll gain: Continuous Improvement Process, Performance Improvement, Project Risk Management, Process Improvement, Quality Improvement, Risk Management, Process Improvement and Optimization, Risk Analysis, Operational Performance Management, Process Management, Performance Measurement, Quality Management, Risk Management Framework, Process Analysis, Performance Management, Process Capability, Process Validation, Risk Mitigation, Process Development, Project Management

    5
    Rating, 5 out of 5 stars
    ·
    24 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Machine Learning Methods, Statistical Methods, Machine Learning Algorithms, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Statistical Inference, Verification And Validation, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Machine Learning and Deep Learning for Software Engineers

    Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, MLOps (Machine Learning Operations), Applied Machine Learning, Software Development, Machine Learning

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    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: Free
    Free
    D

    DeepLearning.AI

    Efficiently Serving LLMs

    Skills you'll gain: LLM Application, Token Optimization, Large Language Modeling, Model Optimization, Fine-tuning, Performance Tuning, Generative AI

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Launch Effective A/B Tests

    Skills you'll gain: A/B Testing, Data-Driven Decision-Making, Statistical Methods, Statistical Hypothesis Testing, Analytics, Statistics, Estimation, Decision Making, Data Analysis, Statistical Inference, Statistical Analysis

    Intermediate · Course · 1 - 4 Weeks

1…252627…38

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

  • Aerial Image Segmentation with PyTorch: Coursera
  • Introduction to AI and Machine Learning: LearnKartS
  • Introduction to On-Device AI: DeepLearning.AI
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Particle Filters (and Navigation): University of Colorado System
  • Master Quality Models with CMMI: Analyze, Apply & Improve: EDUCBA
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Machine Learning and Deep Learning for Software Engineers: Board Infinity
  • Applied Object Detection & Segmentation: Coursera

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