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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

    • P

      Packt

      Advanced Automation Frameworks and Testing with TestNG

      Skills you'll gain: Selenium (Software), Test Automation, Test Data, Test Case, Unit Testing, Software Testing, Test Execution Engine, Regression Testing, Integration Testing, Java, Performance Testing, Automation

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      L

      L&T EduTech

      Highway Planning, Pavement Design and Construction

      Skills you'll gain: Construction Inspection, Construction, Construction Management, Civil Engineering, Civil and Architectural Engineering, Engineering Practices, Hydraulics, Grading (Landscape), Structural Analysis, Engineering Plans And Specifications, Environmental Engineering, Failure Analysis, Laboratory Testing, Engineering Software, Engineering Design Process, Plant Operations and Management, Technical Standard, Engineering Calculations, Engineering Analysis, Safety Assurance

      Advanced · Specialization · 3 - 6 Months

    • 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
      D

      Dartmouth College

      Predictive Analytics

      Skills you'll gain: Business Ethics, Predictive Analytics, Scikit Learn (Machine Learning Library), Digital Transformation, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Regression Analysis, Python Programming, Cloud Computing, Data Quality, Performance Metric, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Complete SAS Guide - Learn SAS and Become a Data Ninja

      Skills you'll gain: SAS (Software), Data Import/Export, Predictive Modeling, Data Manipulation, Statistical Analysis, SQL, Feature Engineering, Data Analysis, R Programming, Data Cleansing, Regression Analysis, Software Installation, Statistical Hypothesis Testing, System Configuration

      Beginner · Course · 3 - 6 Months

    • Status: Free
      Free
      O

      O.P. Jindal Global University

      Econometrics - Theory and Practice

      Skills you'll gain: Econometrics, Regression Analysis, Statistical Modeling, Quantitative Research, Statistical Methods, Stata, Time Series Analysis and Forecasting, Correlation Analysis, Statistical Inference, Statistical Analysis, Data Analysis Software, Probability Distribution

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Design Selenium Test Framework: Architect Level

      Skills you'll gain: Jenkins, Selenium (Software), Apache Maven, CI/CD, Object Oriented Programming (OOP), JUnit, Test Automation, Java, Test Case, Software Design Patterns, Maintainability, Browser Compatibility, Test Execution Engine, Regression Testing

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Foundations of ML & Python for Data Science

      Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Descriptive Statistics, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Probability

      Beginner · Course · 1 - 4 Weeks

    • H

      H2O.ai

      DataPrep for H2O Driverless AI

      Skills you'll gain: Supervised Learning, Machine Learning, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Pandas (Python Package), Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Regression Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Practical Engineering Data Mining: Techniques and Uses

      Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Forecasting, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      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

    • 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

    Logistic Regression learners also search

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    Predictive Modeling
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    1…42434445

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

    • Advanced Automation Frameworks and Testing with TestNG: Packt
    • Highway Planning, Pavement Design and Construction: L&T EduTech
    • Serverless Data Processing with Dataflow: Operations em Português Brasileiro: Google Cloud
    • Predictive Analytics: Dartmouth College
    • Complete SAS Guide - Learn SAS and Become a Data Ninja: Packt
    • Econometrics - Theory and Practice: O.P. Jindal Global University
    • Design Selenium Test Framework: Architect Level: Packt
    • Foundations of ML & Python for Data Science: Packt
    • DataPrep for H2O Driverless AI: H2O.ai
    • Practical Engineering Data Mining: Techniques and Uses: Northeastern 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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