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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

    • U

      University of Michigan

      Data Science for Health Research

      Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Statistical Modeling, Tidyverse (R Package), Data Visualization Software, Regression Analysis, R Programming, Statistical Methods, Ggplot2, Data Wrangling, Statistical Inference, Probability & Statistics, Scatter Plots, Data Manipulation, Predictive Analytics, Correlation Analysis, Histogram, Classification And Regression Tree (CART), Data Analysis, Statistical Analysis

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 1 - 3 Months

    • A

      Arizona State University

      Response Surfaces, Mixtures, and Model Building

      Skills you'll gain: Regression Analysis, Experimentation, Statistical Methods, Statistical Analysis, Statistical Modeling, Research Design, Mathematical Modeling, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      67 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      AI and Machine Learning Algorithms and Techniques

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Decision Tree Learning, Business Logic, Dimensionality Reduction, Data Modeling, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 3 Months

    • E

      Emory University

      Forecasting Models for Marketing Decisions

      Skills you'll gain: Customer Analysis, Customer Demand Planning, Marketing Analytics, Forecasting, Marketing Effectiveness, Predictive Modeling, Revenue Forecasting, Time Series Analysis and Forecasting, Microsoft Excel, Marketing, Regression Analysis, Customer Acquisition Management, Customer Retention, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      78 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The University of Sydney

      Introduction to Advanced Calculus

      Skills you'll gain: Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Differential Equations, Applied Mathematics, Engineering Calculations, Mathematical Modeling, Linear Algebra, Physics, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Interactive Statistical Data Visualization 101

      Skills you'll gain: Plotly, Plot (Graphics), Statistical Visualization, Box Plots, Scatter Plots, Interactive Data Visualization, Data Visualization Software, Histogram

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      Universitat Autònoma de Barcelona

      Detección de objetos

      Skills you'll gain: Computer Vision, Image Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Histogram

      4.4
      Rating, 4.4 out of 5 stars
      ·
      352 reviews

      Mixed · Course · 1 - 3 Months

    • 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
      ·
      34 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      Universidad Nacional de Colombia

      Ciencia de datos energéticos

      Skills you'll gain: Electrical Power, Electric Power Systems, Energy and Utilities, Time Series Analysis and Forecasting, Data Science, Statistical Methods, Data Modeling, Python Programming, Data Processing, Applied Machine Learning, Data Visualization Software, Regression Analysis, Artificial Neural Networks

      5
      Rating, 5 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 3 Months

    • E

      Erasmus University Rotterdam

      Multilevel Modeling

      Skills you'll gain: R Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Statistical Analysis, Advanced Analytics, Data Modeling

      3.9
      Rating, 3.9 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      MathWorks

      Deep Learning for Computer Vision

      Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Predictive Modeling, Data Synthesis, Performance Tuning, Classification And Regression Tree (CART), Data Analysis, Data Processing, Medical Imaging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Beginner · Specialization · 1 - 3 Months

    • V

      Vanderbilt University

      From Data to Decisions: Making Predictions with AI

      Skills you'll gain: Statistical Methods, Data Presentation, Regression Analysis, Statistical Analysis, Technical Communication, Probability & Statistics, Data Analysis, Predictive Analytics, Generative AI, Forecasting

      Intermediate · Course · 1 - 4 Weeks

    Logistic Regression learners also search

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    1…222324…44

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

    • Data Science for Health Research: University of Michigan
    • Response Surfaces, Mixtures, and Model Building: Arizona State University
    • AI and Machine Learning Algorithms and Techniques: Microsoft
    • Forecasting Models for Marketing Decisions: Emory University
    • Introduction to Advanced Calculus: The University of Sydney
    • Interactive Statistical Data Visualization 101: Coursera Project Network
    • Detección de objetos: Universitat Autònoma de Barcelona
    • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
    • Ciencia de datos energéticos: Universidad Nacional de Colombia
    • Multilevel Modeling: Erasmus University Rotterdam

    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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