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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

    • Status: Free Trial
      Free Trial
      T

      Tableau Learning Partner

      Data Analysis with Tableau

      Skills you'll gain: Exploratory Data Analysis, Tableau Software, Statistical Visualization, Data Analysis, Descriptive Statistics, Predictive Analytics, Data Processing, Box Plots, Statistical Analysis, Data Cleansing, Scatter Plots, Data Visualization Software, Trend Analysis, Histogram, Data Manipulation, Regression Analysis, Correlation Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      89 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Illinois Urbana-Champaign

      Introduction to Artificial Intelligence

      Skills you'll gain: Generative AI, Applied Machine Learning, Deep Learning, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Regression Analysis, Emerging Technologies, Law, Regulation, and Compliance, Business Analytics, Governance

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Regression and Classification

      Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Probability & Statistics, Supervised Learning, Applied Machine Learning

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      ISTQB Foundation Level Software Testing Certification Prep

      Skills you'll gain: Test Tools, Test Planning, Configuration Management, Software Testing, Test Automation, Test Case, Integration Testing, Code Review, Software Technical Review, Software Quality Assurance, Software Development Life Cycle, System Testing, Acceptance Testing, Quality Assurance, Maintainability, Regression Testing, Unit Testing, Test Data, Functional Testing, User Acceptance Testing (UAT)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      38 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Predictive Modeling, Artificial Neural Networks

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Applied Machine Learning, Supervised Learning, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      PyTorch Ultimate 2024 - From Basics to Cutting-Edge

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Generative AI, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Text Mining, Python Programming, Supervised Learning, Regression Analysis, Google Cloud Platform, Data Processing, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      P

      Politecnico di Milano

      Machine Learning: an overview

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Reinforcement Learning, Dimensionality Reduction, Algorithms, Data Mining, Classification And Regression Tree (CART), Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      161 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      U

      University of Pennsylvania

      AI and Machine Learning Essentials with Python

      Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms, Computer Vision, Theoretical Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Computational Methods in Pricing and Model Calibration

      Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Financial Data, Python Programming, Probability Distribution, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Data Ethics, Data-Driven Decision-Making, Machine Learning, Applied Machine Learning, Business Ethics, Decision Tree Learning, Business Analytics, Artificial Intelligence, Performance Analysis, Social Justice

      4.8
      Rating, 4.8 out of 5 stars
      ·
      148 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Titanic Survival Prediction Using Machine Learning

      Skills you'll gain: Feature Engineering, Data Cleansing, Predictive Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Data Processing, Data Manipulation, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Analytics, Machine Learning Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Logistic Regression learners also search

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    1…192021…45

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

    • Data Analysis with Tableau: Tableau Learning Partner
    • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
    • Regression and Classification: University of Colorado Boulder
    • ISTQB Foundation Level Software Testing Certification Prep: Board Infinity
    • AI for Scientific Research: LearnQuest
    • Deep Learning with PyTorch: IBM
    • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
    • Machine Learning: an overview: Politecnico di Milano
    • AI and Machine Learning Essentials with Python: University of Pennsylvania
    • Computational Methods in Pricing and Model Calibration: Columbia 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)

    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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