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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
      G

      Google Cloud

      Serverless Data Processing with Dataflow: Operations em Português Brasileiro

      Skills you'll gain: Dataflow, Data Pipelines, Debugging, Data Integrity, CI/CD, Performance Tuning, Data Processing, Maintainability, Real Time Data, Unit Testing, Disaster Recovery, Integration Testing

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      NLP – Machine Learning Models in Python

      Skills you'll gain: Dimensionality Reduction, Natural Language Processing, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Linear Algebra, Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      Universidades Anáhuac

      Modelos predictivos con Machine Learning

      Skills you'll gain: Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Regression Analysis, Feature Engineering, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Unsupervised Learning, Statistical Analysis, Machine Learning, Data Manipulation, Data Transformation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Lean Six Sigma Green Belt Training

      Skills you'll gain: Lean Six Sigma, Process Mapping, Statistical Process Controls, Six Sigma Methodology, Lean Manufacturing, Kaizen Methodology, Statistical Analysis, Process Improvement, Process Capability, Quality Management, Project Management, Root Cause Analysis, Customer Analysis, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Scikit Learn (Machine Learning Library), Dimensionality Reduction, Statistical Machine Learning, Unsupervised Learning, Python Programming, Bayesian Statistics, NumPy, Supervised Learning, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Launching into Machine Learning - 한국어

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

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Launching into Machine Learning - Italiano

      Skills you'll gain: Applied Machine Learning, Data Quality, Machine Learning Methods, Machine Learning, Data Cleansing, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Exploratory Data Analysis, Predictive Modeling, Performance Tuning, Big Data, Sampling (Statistics), Regression Analysis

      Beginner · Course · 1 - 3 Months

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Data Ethics, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Data Pipelines, Linear Algebra, Ggplot2, Dimensionality Reduction, Student Services, Data Processing, Big Data, Agentic systems, Graphing, A/B Testing, Unstructured Data, Deep Learning, Bayesian Statistics, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Statistical Analysis and Advanced Techniques

      Skills you'll gain:

      Beginner · Course

    • I

      Indian Statistical Institute

      Postgraduate Diploma in Applied Statistics

      Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, NumPy, Statistical Machine Learning, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Database Management Systems, Statistical Modeling, Data Compilation, Economics, Statistical Methods, Dimensionality Reduction, Lifelong Learning, Regression Analysis, Statistics, Surveys, Bayesian Statistics, Market Data

      Postgraduate Diploma · 6 - 12 Months

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Introducción a la Ciencia de Datos

      Skills you'll gain: Predictive Analytics, Unsupervised Learning, Data Cleansing, Exploratory Data Analysis, Data Visualization, Dimensionality Reduction, Data Science, Descriptive Analytics, Supervised Learning, Regression Analysis, Scientific Visualization, Data-Driven Decision-Making, Data Processing, Time Series Analysis and Forecasting, Pandas (Python Package), Data Visualization Software, Statistical Machine Learning, Data Manipulation, Statistical Visualization, Machine Learning

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      Universidad de los Andes

      Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®

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

      Credit offered

      Mastertrack · 6 - 12 Months

    Logistic Regression learners also search

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    1…42434445

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

    • Serverless Data Processing with Dataflow: Operations em Português Brasileiro: Google Cloud
    • NLP – Machine Learning Models in Python: Packt
    • Modelos predictivos con Machine Learning: Universidades Anáhuac
    • Lean Six Sigma Green Belt Training: Simplilearn
    • Natural Language Processing - Probability Models in Python: Packt
    • Launching into Machine Learning - 한국어: Google Cloud
    • Launching into Machine Learning - Italiano: Google Cloud
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Statistical Analysis and Advanced Techniques: Microsoft
    • Postgraduate Diploma in Applied Statistics: Indian Statistical Institute

    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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