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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
    A

    American Psychological Association

    t-Tests of Hypotheses About Means

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Quantitative Research, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistics, Data Analysis, Regression Analysis, Research Design, Research, Psychology

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Statistical Methods, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Data Science, Statistical Inference, Predictive Modeling, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Data Science for Marketing

    Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Marketing Effectiveness, Anomaly Detection, Advanced Analytics, Bayesian Network, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data-Oriented Python Programming and Debugging

    Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Data Processing, Maintainability, Numerical Analysis, Critical Thinking, Technical Support

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    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
    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: Preview
    Preview
    D

    Duke University

    R을 사용한 확률 및 데이터 소개

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

    Beginner · Course · 1 - 3 Months

  • 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: 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

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Open-source AI Models

    Skills you'll gain: Open Source Technology, LLM Application, Responsible AI, Generative AI, Web Applications, Large Language Modeling, Artificial Intelligence

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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: 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

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

  • t-Tests of Hypotheses About Means: American Psychological Association
  • Machine Learning Essentials: University of Pennsylvania
  • Data Science for Marketing: University of Colorado System
  • Data-Oriented Python Programming and Debugging: University of Michigan
  • Statistical Methods: University of Leeds
  • Cómo manejar datos faltantes: University of Maryland, College Park
  • R을 사용한 확률 및 데이터 소개: Duke University
  • Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera Project Network
  • Introduction to On-Device AI: DeepLearning.AI
  • Open-source AI Models: Scrimba

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