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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: Preview
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    J

    Johns Hopkins University

    Gestion de l’analyse des données

    Skills you'll gain: Data Analysis, Analytical Skills, Data Management, Exploratory Data Analysis, Statistical Reporting, Data-Driven Decision-Making, Trend Analysis, Data Presentation, Data Collection, Statistical Modeling, Data Validation, Statistical Inference, Model Evaluation, Communication

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • 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
    Rating, 4 out of 5 stars
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    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    S

    SkillUp

    Data Collection and Root Cause Analysis

    Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Analysis, Process Analysis, Six Sigma Methodology, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Pareto Chart

    4.2
    Rating, 4.2 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Resampling, Selection and Splines

    Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Statistics, Applied Mathematics, Logistic Regression, Probability Distribution

    Build toward a degree

    5
    Rating, 5 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model

    Intermediate · Specialization · 3 - 6 Months

  • 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, Statistics, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing, Scripting, 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

  • Status: Free Trial
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    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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    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Colorado System

    Time, Change, and Decisions for Marketing

    Skills you'll gain: Marketing Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Data-Driven Decision-Making, Forecasting, Marketing Strategies, Strategic Decision-Making, Strategic Leadership, Time Series Analysis and Forecasting, Statistical Modeling, Simulation and Simulation Software, Predictive Analytics, Customer Retention, Reinforcement Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    From Data to Decisions: Finding Patterns with AI

    Skills you'll gain: Statistical Methods, Statistical Analysis, Data Visualization, Generative AI, Statistical Hypothesis Testing, Data Presentation, Data Storytelling, Box Plots, Data Analysis, Plot (Graphics), Data-Driven Decision-Making, Statistics, Technical Communication, Statistical Inference, Graphing

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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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
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    21 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    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
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Gestion de l’analyse des données: Johns Hopkins University
  • Aerial Image Segmentation with PyTorch : Coursera
  • Data Collection and Root Cause Analysis: SkillUp
  • Resampling, Selection and Splines: University of Colorado Boulder
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Data Science for Health Research: University of Michigan
  • Data-Oriented Python Programming and Debugging: University of Michigan
  • Time, Change, and Decisions for Marketing: University of Colorado System
  • From Data to Decisions: Finding Patterns with AI: Vanderbilt University
  • Population Health: Study Design: Universiteit Leiden

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