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  • Causal Models


Results for "causal+models"


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    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability, Simulations

    4.8
    Rating, 4.8 out of 5 stars
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    759 reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    AI Techniques, Causal Inference & Business Optimization

    Skills you'll gain: Data Ethics, Responsible AI, LLM Application, Operations Research, Strategic Thinking, Strategic Decision-Making, Business Strategy, Apache Kafka, Large Language Modeling, Real Time Data, AI Enablement, Performance Testing, Prompt Engineering, Business Analytics, Operational Analysis, Reinforcement Learning, Technical Communication, Inventory Management System, Supply Chain, General Data Protection Regulation (GDPR)

    Intermediate · Specialization · 3 - 6 Months

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    University of Pennsylvania

    A Crash Course in Causality: Inferring Causal Effects from Observational Data

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Data Analysis, Quantitative Research, Regression Analysis, Research Design, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
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    570 reviews

    Intermediate · Course · 1 - 3 Months

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    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

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    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Histogram, Data Presentation, Predictive Modeling, Data Storytelling, Exploratory Data Analysis, Risk Analysis, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library), Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference

    4.4
    Rating, 4.4 out of 5 stars
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    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

What brings you to Coursera today?

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    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.3
    Rating, 3.3 out of 5 stars
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    104 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Forecasting, Predictive Analytics, Business Analytics, Simulation and Simulation Software, Probability, Logistic Regression, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
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    9.4K reviews

    Mixed · Course · 1 - 4 Weeks

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    Columbia University

    Causal Inference 2

    Skills you'll gain: Statistical Inference, Econometrics, Mediation, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

    3.3
    Rating, 3.3 out of 5 stars
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    15 reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Imperial College London

    Infectious Disease Modelling

    Skills you'll gain: Epidemiology, Mathematical Modeling, Statistical Modeling, Simulations, Risk Modeling, Infectious Diseases, Public Health, Model Evaluation, Predictive Modeling, R Programming, Differential Equations, Data Modeling, Statistical Methods, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    298 reviews

    Intermediate · Specialization · 1 - 3 Months

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    EDUCBA

    Predictive Analytics & Modeling with Minitab

    Skills you'll gain: Data-Driven Decision-Making, Minitab, Regression Analysis, Logistic Regression, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Predictive Analytics, Statistical Methods, Descriptive Statistics, Analytics, Business Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Statistical Modeling, Quantitative Research, Case Studies

    4.7
    Rating, 4.7 out of 5 stars
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    15 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Social and Economic Networks: Models and Analysis: Stanford University
  • AI Techniques, Causal Inference & Business Optimization: Coursera
  • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
  • Probabilistic Graphical Models: Stanford University
  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • Regression Models: Johns Hopkins University
  • Causal Inference: Columbia University
  • Fundamentals of Quantitative Modeling: University of Pennsylvania
  • Causal Inference 2: Columbia University
  • Probabilistic Graphical Models: A Compact Introduction: Coursera

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