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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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    SAS

    Introduction to Statistical Analysis: Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
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    174 reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of California, Santa Cruz

    Bayesian Statistics: Capstone Project

    Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Statistical Inference, Sampling (Statistics), Model Evaluation, Probability Distribution

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    American Psychological Association

    Intro to Null Hypothesis Significance Testing with z-test

    Skills you'll gain: Statistical Hypothesis Testing, Sample Size Determination, Probability & Statistics, Probability Distribution, Statistical Methods, Quantitative Research, Statistical Inference, Sampling (Statistics), Statistical Analysis, Probability, Data Analysis

    Beginner · Course · 1 - 3 Months

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    Packt

    Statistics & Mathematics for Data Science & Data Analytics

    Skills you'll gain: Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Applied Machine Learning, Predictive Modeling, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Machine Learning with Python & Statistics

    Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming

    Mixed · Course · 1 - 4 Weeks

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    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

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    Packt

    Eye Tracking the User Experience: From Design to Analysis

    Skills you'll gain: User Experience, UI/UX Research, User Experience Design, Usability Testing, Design Research, Data Visualization, Usability, User Centered Design, User Research, Interactive Data Visualization, Data Analysis, Qualitative Research, Quantitative Research, Data Preprocessing, Statistical Inference

    Beginner · Course · 3 - 6 Months

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    Duke University

    Linear Regression and Modeling

    Skills you'll gain: Regression Analysis, R (Software), Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Model Evaluation, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Biostatistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Inference, Probability Distribution, Public Health, Scientific Methods, Statistics, Statistical Modeling, Advanced Analytics, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
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    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

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    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    R

    Real Madrid Graduate School Universidad Europea

    Theoretical Bases of Health and Injury Management

    Skills you'll gain: Kinesiology, Applied Machine Learning, Bayesian Network, Machine Learning, Data-Driven Decision-Making, Epidemiology, Load Balancing, Health Education, Data Integration, Systems Engineering, Psychological Evaluations

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Introduction to Statistical Analysis: Hypothesis Testing: SAS
  • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
  • Intro to Null Hypothesis Significance Testing with z-test: American Psychological Association
  • Statistics & Mathematics for Data Science & Data Analytics: Packt
  • Machine Learning with Python & Statistics: EDUCBA
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Eye Tracking the User Experience: From Design to Analysis: Packt
  • Linear Regression and Modeling : Duke University
  • Biostatistics in Public Health: Johns Hopkins University
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA

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