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    Results for "causal forests"

    • J

      Johns Hopkins University

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

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      172 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Quantifying Relationships with Regression Models

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Washington

      Communicating Data Science Results

      Skills you'll gain: Data Ethics, Statistical Visualization, Data Storytelling, Data Visualization Software, Data Governance, Big Data, Technical Communication, Cloud Computing, Amazon Web Services, Information Privacy, Ethical Standards And Conduct

      3.4
      Rating, 3.4 out of 5 stars
      ·
      142 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Amsterdam

      Unraveling the Cycling City

      Skills you'll gain: Sociology, Systems Thinking, Economics, Policy, and Social Studies, Cultural Diversity, Policy Analysis, Geographic Information Systems, Environmental Science, Spatial Analysis, Public Policies, Qualitative Research, Environment and Resource Management, European History

      4.9
      Rating, 4.9 out of 5 stars
      ·
      248 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • L

      LearnQuest

      Fundamentals of Machine Learning for Supply Chain

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Programming Principles, Python Programming, Applied Machine Learning, Plot (Graphics), Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      Y

      Yale University

      Tropical Forest Landscapes 101: Conservation & Restoration

      Skills you'll gain: Land Management, Environmental Science, Environment, Natural Resource Management, Environmental Resource Management, Biology, Water Resources, Social Studies, Finance, Community Development

      4.9
      Rating, 4.9 out of 5 stars
      ·
      157 reviews

      Beginner · Course · 1 - 3 Months

    • T

      Tsinghua University

      Data Structures and Algorithms (II)

      Skills you'll gain: Data Structures, Algorithms, Graph Theory, Computational Thinking, Programming Principles, Computer Programming

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Washington

      Practical Predictive Analytics: Models and Methods

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Big Data

      4.1
      Rating, 4.1 out of 5 stars
      ·
      320 reviews

      Mixed · Course · 1 - 4 Weeks

    • 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, Vital Signs, Pharmacology, Public Health and Disease Prevention, Biology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      803 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Introducción a la inteligencia artificial

      Skills you'll gain: Bayesian Network, Program Development, Computational Logic, Game Theory, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Engineering Software, Markov Model, Software Development, Theoretical Computer Science, Generative AI, Decision Support Systems, Applied Machine Learning, Data Ethics, Problem Management, Social Sciences, Bioinformatics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      583 reviews

      Intermediate · Specialization · 3 - 6 Months

    1…678…12

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

    • Data – What It Is, What We Can Do With It: Johns Hopkins University
    • Quantifying Relationships with Regression Models: Johns Hopkins University
    • Communicating Data Science Results: University of Washington
    • Unraveling the Cycling City: University of Amsterdam
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Fundamentals of Machine Learning for Supply Chain: LearnQuest
    • Tropical Forest Landscapes 101: Conservation & Restoration: Yale University
    • Data Structures and Algorithms (II): Tsinghua University
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Practical Predictive Analytics: Models and Methods: University of Washington

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