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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
    Free Trial
    I

    Illinois Tech

    Introduction to Data Science Techniques

    Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Model Evaluation, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Data Cleansing, Analytics, Regression Analysis, R Programming, Statistical Software, Forecasting, Data Preprocessing, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Linear Kalman Filter Deep Dive (and Target Tracking)

    Skills you'll gain: Estimation, Advanced Mathematics, Mathematical Modeling, Matlab, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability, Statistical Inference, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    Getting Started with AWS Generative AI for Developers

    Skills you'll gain: Amazon Bedrock, Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, LLM Application, Embeddings, Model Deployment, Artificial Intelligence, Application Programming Interface (API)

    4.5
    Rating, 4.5 out of 5 stars
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    35 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
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    137 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Local LLMs with llamafile

    Skills you'll gain: LLM Application, Model Deployment, Real Time Data, Large Language Modeling, Application Deployment, System Monitoring, Cross Platform Development, Application Programming Interface (API), Machine Learning

    2.7
    Rating, 2.7 out of 5 stars
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    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Data Preprocessing, Statistical Methods, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    10 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Aerial Image Segmentation with PyTorch

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

    4.1
    Rating, 4.1 out of 5 stars
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    31 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Particle Filters (and Navigation)

    Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Mathematical Modeling, Applied Mathematics, Engineering Analysis, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Razonamiento artificial

    Skills you'll gain: Bayesian Network, Computational Logic, Markov Model, Artificial Intelligence, Game Theory, Theoretical Computer Science, Logical Reasoning, Python Programming, Deductive Reasoning, Reinforcement Learning, Probability, Verification And Validation, Decision Tree Learning, Algorithms, Probability Distribution

    4.1
    Rating, 4.1 out of 5 stars
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    113 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    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

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

  • Introduction to Data Science Techniques: Illinois Tech
  • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
  • Getting Started with AWS Generative AI for Developers: Amazon Web Services
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Local LLMs with llamafile: Duke University
  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Aerial Image Segmentation with PyTorch : Coursera
  • Particle Filters (and Navigation): University of Colorado System
  • Statistics and Data Analysis with R: University of Colorado Boulder
  • Razonamiento artificial: Universidad Nacional Autónoma de México

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