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Causal Inference Courses Online

Explore causal inference methods for determining cause-and-effect relationships. Learn to apply statistical techniques to identify causality in data.

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Explore the Causal Inference Course Catalog

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Applied Bioinformatics

    Skills you'll gain: Bioinformatics, Diagnostic Tests, Computational Thinking, Molecular Biology, Infectious Diseases, Informatics, Network Analysis, Medical Science and Research, 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

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

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

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Leeds

    Statistical Methods

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    R을 사용한 확률 및 데이터 소개

    Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Inference

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Resampling, Selection and Splines

    Skills you'll gain: Data Science, Statistical Programming, R Programming, Statistical Machine Learning, Advanced Analytics, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Statistical Methods, Sampling (Statistics), Regression Analysis, Statistical Inference, Predictive Modeling, Statistics

    Build toward a degree

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Ein Crashkurs in Datenwissenschaft

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Introduction to On-Device AI

    Skills you'll gain: Application Deployment, Performance Testing, Android Development, Image Analysis, PyTorch (Machine Learning Library), Embedded Software, Deep Learning, Tensorflow, Hardware Architecture, Artificial Neural Networks, Real Time Data, Artificial Intelligence

    4.3
    Rating, 4.3 out of 5 stars
    ·
    22 reviews

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Snowflake for Data Science: Intro to Snowpark ML for Python

    Skills you'll gain: Snowflake Schema, Applied Machine Learning, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Processing, Data Science, Python Programming, Regression Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Maryland, College Park

    Cómo manejar datos faltantes

    Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling, Statistical Inference

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Engineering Probability and Statistics Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    End to End LLMs with Azure

    Skills you'll gain: Microsoft Azure, Large Language Modeling, OpenAI, Application Deployment, Prompt Engineering, Application Development, Application Programming Interface (API), GitHub, Automation, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Data Collection and Root Cause Analysis

    Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Statistical Methods, Statistics, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Analysis, Process Analysis, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Analytical Skills, Pareto Chart, Performance Measurement

    4.2
    Rating, 4.2 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Applied Bioinformatics: University of California San Diego
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Statistical Methods: University of Leeds
  • R을 사용한 확률 및 데이터 소개: Duke University
  • Resampling, Selection and Splines: University of Colorado Boulder
  • Ein Crashkurs in Datenwissenschaft: Johns Hopkins University
  • Introduction to On-Device AI: DeepLearning.AI
  • Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera Project Network
  • Cómo manejar datos faltantes: University of Maryland, College Park
  • Engineering Probability and Statistics Part 2: Northeastern University

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