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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.


More to explore:

Popular Causal Inference Courses and Certifications


  • 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
    ·
    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    127 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Intermediate · 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
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Science for Health Research

    Skills you'll gain: R (Software), Model Evaluation, Statistical Modeling, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistics, Scripting, Statistical Hypothesis Testing, Package and Software Management, Data Import/Export

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Modeling Data in the Tidyverse

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Statistical Modeling

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • 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
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Chi-Square Tests of Hypotheses About Frequency Tables

    Skills you'll gain: Statistical Hypothesis Testing, Quantitative Research, Statistical Software, Statistical Analysis, Data Analysis, Probability & Statistics, Analysis, Statistical Methods, Statistical Inference, Analytical Skills, Statistics, Psychology, Regression Analysis, Research

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Applied Bioinformatics

    Skills you'll gain: Bioinformatics, Diagnostic Tests, Model Evaluation, Molecular Biology, Infectious Diseases, Informatics, Network Analysis, Medical Science and Research, Computational Thinking, Biochemistry, Data Mining, Scientific Visualization, Life Sciences, Tree Maps, Microbiology, Biology, Data Analysis Software, Pharmacology, Science and Research

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Beginner · Specialization · 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
    Rating, 4 out of 5 stars
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Using probability distributions for real world problems in R: Coursera
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Data Science for Health Research: University of Michigan
  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
  • Local LLMs with llamafile: Duke University
  • Operationalizing LLMs on Azure: Duke University
  • Chi-Square Tests of Hypotheses About Frequency Tables: American Psychological Association

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