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    • Causal Inference

    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
      D

      Databricks

      Introduction to Computational Statistics for Data Scientists

      Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Mathematical Software, Statistical Inference

      4
      Rating, 4 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Probability and Data with R

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Geneva

      Operational Research for Humanitarians

      Skills you'll gain: Research Methodologies, Health Policy, Research, Qualitative Research, Community Outreach, Policty Analysis, Research, and Development, Ethical Standards And Conduct, Data Collection, Accountability, Decision Making, Adaptability, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      144 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The State University of New York

      Practical Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Correlation Analysis, Descriptive Statistics, Statistical Inference, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data – What It Is, What We Can Do With It

      Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      176 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Fitting Statistical Models to Data with Python

      Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Probability Distribution, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      702 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Storytelling With Data

      Skills you'll gain: Data Storytelling, Data Presentation, Storytelling, Data Visualization, Data Analysis, Business Communication, Presentations, Small Data, Action Oriented, Drive Engagement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      245 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Cape Town

      Understanding Clinical Research: Behind the Statistics

      Skills you'll gain: Biostatistics, Statistical Methods, Statistical Hypothesis Testing, Probability & Statistics, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Sleep: Neurobiology, Medicine, and Society

      Skills you'll gain: Mental Health, Psychiatry, Stress Management, Neurology, Mathematical Modeling, Patient Safety, Cardiology, Accident Prevention, Public Health, Vital Signs, Pharmacology, Public Health and Disease Prevention, Biology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      806 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Principles of fMRI 1

      Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Data Analysis, Research Design, Image Analysis, Neurology, Science and Research, Statistical Analysis, Statistical Modeling, Data Processing, Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      840 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Logistic Regression in R for Public Health

      Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Feature Engineering, Statistical Inference, Data Analysis Software, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      365 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Austral

      Estadística aplicada a los negocios

      Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Risk Management, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling, Data Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      757 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Introduction to Computational Statistics for Data Scientists: Databricks
    • Introduction to Probability and Data with R: Duke University
    • Operational Research for Humanitarians: University of Geneva
    • Practical Time Series Analysis: The State University of New York
    • Data – What It Is, What We Can Do With It: Johns Hopkins University
    • Fitting Statistical Models to Data with Python: University of Michigan
    • Storytelling With Data: Coursera Project Network
    • Understanding Clinical Research: Behind the Statistics: University of Cape Town
    • Sleep: Neurobiology, Medicine, and Society: University of Michigan
    • Principles of fMRI 1: Johns Hopkins University

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