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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

    • S

      Sungkyunkwan University

      Machine Learning Algorithms

      Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability & Statistics

      3.5
      Rating, 3.5 out of 5 stars
      ·
      8 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Six Sigma Methodology, R Programming, Statistical Analysis, Regression Analysis, Probability & Statistics, Data Literacy, Descriptive Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Data Processing, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning

      3.6
      Rating, 3.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Data Preparation and Analysis

      Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Presentation, Data Cleansing, Applied Machine Learning, Analytics, Machine Learning, Data Science, Regression Analysis, Data Manipulation, Data Mining, Statistical Modeling, Python Programming, Feature Engineering, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART)

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Launching into Machine Learning em Português Brasileiro

      Skills you'll gain: Exploratory Data Analysis, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Supervised Learning, Google Cloud Platform, Data Processing, Data Analysis, Predictive Modeling, Big Data, Statistical Analysis, Sampling (Statistics), Regression Analysis, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Learn Selenium WebDriver with Java

      Skills you'll gain: Selenium (Software), Java Programming, Java, Object Oriented Programming (OOP), Eclipse (Software), JUnit, Test Automation, Test Tools, Development Environment, Web Development Tools, Integrated Development Environments, Cascading Style Sheets (CSS), Computer Programming, Extensible Markup Language (XML), Software Testing, Test Case, Programming Principles, Test Execution Engine, Javascript and jQuery, Regression Testing

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Measurement Systems Analysis

      Skills you'll gain: Correlation Analysis, Statistical Visualization, Data Visualization, Statistical Analysis, Data Analysis, Box Plots, Systems Of Measurement, Data Quality, Run Chart, R Programming, Scatter Plots, Regression Analysis, Statistical Methods, Verification And Validation, Continuous Monitoring, Statistical Hypothesis Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Modeling and Predicting Climate Anomalies

      Skills you'll gain: Matplotlib, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Pandas (Python Package), Statistical Analysis, Machine Learning, Regression Analysis, Environmental Policy, Data Science, Energy and Utilities, Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, NumPy, Environment, International Relations, Environmental Regulations, Policy Analysis

      Intermediate · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Machine Learning for Kyphosis Disease Classification

      Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Transformation, Data Processing, Predictive Analytics, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: CI/CD Pipelines and Deployment Strategies

      Skills you'll gain: CI/CD, Application Deployment, Software Development Life Cycle, Continuous Deployment, Continuous Integration, Amazon Web Services, AWS CloudFormation, Amazon Elastic Compute Cloud, Regression Testing, Unit Testing, Infrastructure as Code (IaC), Docker (Software), Containerization, Amazon S3, Git (Version Control System)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Launching into Machine Learning en Français

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Applied Machine Learning, Data Quality, Data Cleansing, Machine Learning, Supervised Learning, Google Cloud Platform, Regression Analysis, Sampling (Statistics), Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Data Analysis for Business

      Skills you'll gain: Business Analytics, Regression Analysis, Descriptive Statistics, Data Analysis, Data-Driven Decision-Making, Statistical Inference, Statistics, Strategic Decision-Making, Business Analysis, Statistical Analysis, Data Science, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    Logistic Regression learners also search

    Regression
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    Regression Models
    Linear Regression
    Predictive Modeling
    Statistical Modeling
    Predictive Analytics
    Data Modeling
    1…353637…45

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

    • Machine Learning Algorithms: Sungkyunkwan University
    • RStudio for Six Sigma - Hypothesis Testing: Coursera Project Network
    • Applied Machine Learning: Johns Hopkins University
    • Data Preparation and Analysis: Illinois Tech
    • Launching into Machine Learning em Português Brasileiro: Google Cloud
    • Learn Selenium WebDriver with Java: Packt
    • Measurement Systems Analysis: University of Colorado Boulder
    • Modeling and Predicting Climate Anomalies: University of Colorado Boulder
    • Machine Learning for Kyphosis Disease Classification: Coursera Project Network
    • AWS: CI/CD Pipelines and Deployment Strategies: Whizlabs

    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)

    Frequently Asked Questions about Logistic Regression

    Logistic regression is a technique used in statistics that allows people to estimate the probability of something happening based on existing data they have about that event taking place before. Mathematical models are used often in science and engineering disciplines to explain concepts using mathematical language, and one of these models is logical regression. Logistic regression works using binary data, meaning there are only two possible outcomes for the event: It takes place, or it doesn’t take place. To figure out the probability of these two outcomes, logistic regression uses equations that calculate odds ratios — the odds that something will happen or it won’t. This predictive modeling tool plays a large role not only in statistics but also in machine learning, which involves computers learning information that they haven’t explicitly been programmed to process.‎

    If you’re considering going into a career field that works with data, software or mathematics, logical regression is a valuable area of study to focus on. Logistic regression becomes an important step of the programming process when you’re building software that deals with predictive modeling or data analysis. And, if you’re interested in enhancing your understanding of machine learning, logistic regression is an essential. When you understand modeling with logical regression, you can progress more easily to the complex models involved with machine learning while learning how to best prepare data for processing.‎

    A career as a data scientist or data analyst gives you the opportunity to apply your knowledge of logistic regression, but you’ll also frequently draw upon your skills in this arena if you want to go into the field of machine learning. Although these careers are relatively broad, working with machine learning and logistic regression is also possible in a variety of specialties you’ll find in software engineering, computational linguistics and software development. As you begin to learn more about logistic regression while taking online classes, you may discover a particular area of interest you want to explore — and your new skills can help you discover more.‎

    Taking online courses about logistic regression can give you the knowledge you need to progress in your field or start fresh. In your career as a data scientist or analyst, you know the importance of statistical approaches and the variety of data-modeling techniques you utilize on a regular basis. But if you’re ready to dig deeper into these concepts to boost your understanding and put new ideas and skills into practice, taking online courses about logistic regression can get you where you want to go. If you’re starting with the basics, take a ground-up approach with introductory courses that create a solid foundation for future learning. Or, if you’re looking to supplement your existing knowledge base with a greater understanding of logistic regression, try courses that help you learn the concept’s role in machine learning and programming software for predictive modeling. You’ll appreciate your newfound comprehension of these innovative ideas — and you’ll love the freedom to participate in online courses when and where it’s most convenient for you.‎

    Online Logistic Regression courses offer a convenient and flexible way to enhance your knowledge or learn new Logistic Regression skills. Choose from a wide range of Logistic Regression courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Logistic Regression, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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