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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


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    J

    Johns Hopkins University

    Gestión del análisis de datos

    Skills you'll gain: Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Data Management, Data Strategy, Management Reporting, Analytical Skills, Statistical Inference, Statistical Modeling, Data Presentation, Team Leadership, Statistical Methods, Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    104 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    The Analyze Phase for the 6 σ Black Belt

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Statistical Hypothesis Testing, Statistical Analysis, Analysis, Statistical Inference, Process Analysis, Correlation Analysis, Data Analysis, Probability & Statistics, Risk Analysis, Regression Analysis, Sample Size Determination, Sampling (Statistics)

    4.4
    Rating, 4.4 out of 5 stars
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    53 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    ANOVA and Experimental Design

    Skills you'll gain: Statistical Hypothesis Testing, Experimentation, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Quantitative Research, Regression Analysis, Statistical Inference, Probability & Statistics, Sample Size Determination, Linear Algebra, Calculus

    Build toward a degree

    4
    Rating, 4 out of 5 stars
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    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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
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    21 reviews

    Intermediate · Specialization · 3 - 6 Months

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    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: Free Trial
    Free Trial
    U

    University of Colorado System

    Applied Kalman Filtering

    Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Matlab, Statistical Modeling, Simulations, Estimation, Advanced Mathematics, Mathematical Modeling, Statistical Analysis, Time Series Analysis and Forecasting, Probability & Statistics, Control Systems, Forecasting, Applied Mathematics, Statistical Methods, Predictive Analytics, Engineering Analysis, Mathematical Software, Simulation and Simulation Software

    4.9
    Rating, 4.9 out of 5 stars
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    30 reviews

    Intermediate · Specialization · 3 - 6 Months

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    U

    University of Michigan

    Llama for Python Programmers

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON

    4.7
    Rating, 4.7 out of 5 stars
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    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    D

    Duke University

    Operationalizing LLMs on Azure

    Skills you'll gain: Large Language Modeling, LLM Application, Prompt Engineering, Microsoft Azure, OpenAI API, Retrieval-Augmented Generation, OpenAI, Model Deployment, Risk Management Framework, Embeddings, Application Deployment, Application Programming Interface (API), Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    49 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Statistics For Data Science

    Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

    4
    Rating, 4 out of 5 stars
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    41 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Inclusive Analytic Techniques

    Skills you'll gain: Data Ethics, Data Collection, Quantitative Research, Qualitative Research, Data Analysis, Statistical Analysis, Analytical Skills, Regression Analysis, Focus Group, Correlation Analysis, Diversity and Inclusion, Research Methodologies, Surveys, Business Analytics, Statistical Inference, Sampling (Statistics), Stakeholder Analysis, Probability, Stakeholder Engagement

    4.8
    Rating, 4.8 out of 5 stars
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    81 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
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    109 reviews

    Advanced · Course · 1 - 3 Months

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

  • Gestión del análisis de datos: Johns Hopkins University
  • The Analyze Phase for the 6 σ Black Belt: Kennesaw State University
  • ANOVA and Experimental Design: University of Colorado Boulder
  • Introduction to Data Science Techniques: Illinois Tech
  • Razonamiento artificial: Universidad Nacional Autónoma de México
  • Applied Kalman Filtering: University of Colorado System
  • Llama for Python Programmers: University of Michigan
  • Using probability distributions for real world problems in R: Coursera
  • Operationalizing LLMs on Azure: Duke University
  • Statistics For Data Science: Coursera

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