• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Logistic Regression

    Logistic Regression Courses Online

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

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Complete graduate-level learning without committing to a full degree program.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Logistic Regression Course Catalog

    • P

      Packt

      Clustering and Classification with Machine Learning in R

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Data Science, Classification And Regression Tree (CART), Ggplot2, Random Forest Algorithm, Exploratory Data Analysis, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Mastering Image Segmentation with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Data Processing, Debugging, Machine Learning Methods, Performance Tuning, Regression Analysis

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Advanced Java Concepts and Collections

      Skills you'll gain: Selenium (Software), JUnit, Test Automation, Software Testing, Browser Compatibility, Test Data, Test Case, Software Quality Assurance, Regression Testing, HTML and CSS, Java Programming, Hypertext Markup Language (HTML), Web Development Tools, Object Oriented Programming (OOP), Data Structures, Cascading Style Sheets (CSS), Debugging

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      AWS AutoGluon for Machine Learning Classification

      Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms

      Intermediate · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Data Science Decisions in Time: Using Causal Information

      Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Decision Tree Learning, Business Analytics, Data Science, Strategic Decision-Making, Regression Analysis, Random Forest Algorithm, Medical Science and Research, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Maryland, College Park

      Cómo manejar datos faltantes

      Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R Programming

      Mixed · Course · 1 - 3 Months

    • P

      Packt

      Selenium WebDriver 4 with Java - Zero To Hero

      Skills you'll gain: Jenkins, Selenium (Software), GitHub, Git (Version Control System), CI/CD, Continuous Integration, Apache Maven, Performance Testing, Version Control, Test Automation, Browser Compatibility, Test Data, Object Oriented Programming (OOP), Java, Test Case, Unit Testing, Javascript and jQuery, Software Testing, Test Execution Engine, Regression Testing

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Auto Machine Learning (AutoML) Using AutoGluon

      Skills you'll gain: Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Amazon Web Services, Prototyping

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      U

      University of Michigan

      Statistics with Python Using NumPy, Pandas, and SciPy

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Probability & Statistics, NumPy, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Histogram, Scatter Plots, Regression Analysis, Pandas (Python Package), Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • F

      Fundação Instituto de Administração

      Construção de Relacionamentos em Vendas Orientada a Dados

      Skills you'll gain: Sales Strategy, Sales, Customer Analysis, Regression Analysis, Product Knowledge, Cross Selling, Personalized Service, Data Analysis, Predictive Analytics, Forecasting, Business Metrics, Machine Learning Methods

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Apache Spark with Scala – Hands-On with Big Data!

      Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Real Time Data, Programming Principles, Machine Learning Algorithms, Graph Theory, Integrated Development Environments, Data Transformation, Development Environment, Distributed Computing, Build Tools, Regression Analysis, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • U

      Università di Napoli Federico II

      Asset Pricing Models

      Skills you'll gain: Securities (Finance), Portfolio Management, Equities, Investments, Financial Market, Finance, Fixed Asset, Risk Modeling, Derivatives, Asset Management, Capital Markets, Statistical Methods, Financial Analysis, Return On Investment, Risk Analysis, Regression Analysis, Time Series Analysis and Forecasting, Estimation

      Intermediate · Course · 1 - 3 Months

    Logistic Regression learners also search

    Regression
    Regression Analysis
    Regression Models
    Linear Regression
    Predictive Modeling
    Statistical Modeling
    Predictive Analytics
    Data Modeling
    1…404142…44

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

    • Clustering and Classification with Machine Learning in R: Packt
    • Mastering Image Segmentation with PyTorch: Packt
    • Advanced Java Concepts and Collections: Packt
    • AWS AutoGluon for Machine Learning Classification: Coursera Project Network
    • Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
    • Cómo manejar datos faltantes: University of Maryland, College Park
    • Selenium WebDriver 4 with Java - Zero To Hero: Packt
    • Auto Machine Learning (AutoML) Using AutoGluon : Coursera Project Network
    • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
    • Construção de Relacionamentos em Vendas Orientada a Dados: Fundação Instituto de Administração

    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.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Manage Cookie Preferences
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok