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  • Causal Models

Results for "causal+models"


  • Status: New
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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

  • Status: Preview
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    U

    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
    ·
    570 reviews

    Intermediate · Course · 1 - 3 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: New
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    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    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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    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

What brings you to Coursera today?

  • Status: Preview
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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

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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: New
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    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Decision Tree Learning, Report Writing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Nail Regression & Classification

    Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Regression Analysis: Simplify Complex Data Relationships

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Analytics, Correlation Analysis, Predictive Modeling, Supervised Learning, Analysis, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Classification Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    589 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    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

1234…9

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

  • AI Techniques, Causal Inference & Business Optimization: Coursera
  • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • ML Model Development and Tracking: Hands-on Guide: KodeKloud
  • Probabilistic Graphical Models: Stanford University
  • Social and Economic Networks: Models and Analysis: Stanford University
  • Causal Inference: Columbia University
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • ML: Build, Train, Justify Models: Coursera
  • Nail Regression & Classification: Coursera

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