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    • Logistic Regression

    Logistic Regression Courses Online

    Study logistic regression for binary classification. Learn to model and predict binary outcomes using logistic regression techniques.

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    Explore the Logistic Regression Course Catalog

    • U

      Universidad de los Andes

      Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®

      Skills you'll gain: User Story, Test Driven Development (TDD), Continuous Integration, Test Automation, Version Control, Software Testing, Git (Version Control System), Agile Methodology, Software Architecture, Maintainability, Acceptance Testing, Software Design, Regression Testing, System Testing, Angular, Usability, Software Engineering, Web Content Accessibility Guidelines, Application Design, Software Design Patterns

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      Universidad de los Andes

      Metodologías ágiles de desarrollo de software Certificado MasterTrack®

      Skills you'll gain: Android Jetpack, Test Automation, Software Testing, User Story, Agile Software Development, Sprint Planning, Kotlin, Security Requirements Analysis, Acceptance Testing, Regression Testing, Cloud Applications, Infrastructure As A Service (IaaS), System Testing, Authorization (Computing), Application Security, Angular, Usability, Platform As A Service (PaaS), Mobile Development, Software Engineering

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • 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, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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

    • C

      Coursera Project Network

      Predictive Analytics for Business with H2O in R

      Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Analytics, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      53 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Optimization for Decision Making

      Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Microsoft Excel, Solution Design, Decision Making, Linear Algebra, Resource Allocation, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      80 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      Duke University

      Inferenzstatistik

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Statistics, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution

      Beginner · Course · 1 - 3 Months

    Logistic Regression learners also search

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    1…46474849

    In summary, here are 10 of our most popular logistic regression courses

    • Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®: Universidad de los Andes
    • Metodologías ágiles de desarrollo de software Certificado MasterTrack®: Universidad de los Andes
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Probabilistic Graphical Models: Stanford University
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Predictive Analytics for Business with H2O in R: Coursera Project Network
    • Optimization for Decision Making: University of Minnesota
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • Inferential Statistics: Duke University
    • Inferenzstatistik: Duke University

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

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