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  • Logistic Regression

Logistic Regression Courses

Logistic regression courses can help you learn statistical modeling, hypothesis testing, and the interpretation of coefficients. You can build skills in evaluating model performance, understanding odds ratios, and applying techniques like regularization to improve accuracy. Many courses introduce tools such as R, Python, and specialized libraries like scikit-learn, showing how these skills are used to analyze binary outcomes in various fields, including healthcare, finance, and marketing.


More to explore:

Popular Logistic Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Image Analysis, Anomaly Detection, Unsupervised Learning, Microsoft Azure, Natural Language Processing, Computer Vision, Artificial Intelligence, Applied Machine Learning, MLOps (Machine Learning Operations), AI Security, Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning, AI Workflows, Model Deployment, Classification Algorithms, Analytics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Apply Data Analytics Using SPSS Modeler Workflows

    Skills you'll gain: Dashboard, Data Transformation, Analytics, Data Presentation, Data Preprocessing, Data Analysis, Business Analytics, Statistical Analysis, Statistical Modeling, Data Quality, SPSS, Predictive Modeling, Workflow Management, Data Visualization Software, Regression Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sports Performance Analytics

    Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Data Preprocessing, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, Data Analysis, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    279 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Microsoft Azure AI Fundamentals AI-900 Exam Guide

    Skills you'll gain: Responsible AI, Image Analysis, Generative AI, Machine Learning, Computer Vision, Microsoft Azure, Artificial Intelligence, Data Preprocessing, Natural Language Processing, OpenAI, Regression Analysis, AI Workflows, Model Deployment, Model Evaluation, Classification Algorithms

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    UNSW Sydney (The University of New South Wales)

    Introduction to Systems Engineering

    Skills you'll gain: Engineering Management, Functional Requirement, Product Lifecycle Management, Software Engineering, Construction, Technical Design

    4.7
    Rating, 4.7 out of 5 stars
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    832 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
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    190 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Statistics for Genomic Data Science

    Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Logistic Regression

    4.2
    Rating, 4.2 out of 5 stars
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    378 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    C

    Columbia University

    Financial Engineering and Risk Management

    Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Portfolio Risk, Asset Management, Credit Risk, Mortgage Loans, Mathematical Modeling, Applied Mathematics, Capital Markets, Financial Modeling, Risk Modeling, Regression Analysis, Market Liquidity, Futures Exchange, Risk Management, Equities, Actuarial Science

    4.6
    Rating, 4.6 out of 5 stars
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    419 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Grow Trees & Powerful Ensembles

    Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Decision Tree Learning, Predictive Modeling, Model Evaluation, Feature Engineering, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Performance Tuning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apply Advanced Tableau Analytics to Real-World Data

    Skills you'll gain: Data Storytelling, Tableau Software, Dashboard, Market Data, Data-Driven Decision-Making, Data Presentation, Feature Engineering, Analytical Skills, Data Ethics, Data Visualization, Exploratory Data Analysis, Data Visualization Software, Case Studies, Business Intelligence, Business Analytics, Financial Market, Interactive Data Visualization, Data Analysis, Financial Data, Financial Analysis

    Beginner · Specialization · 1 - 3 Months

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

  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Apply Data Analytics Using SPSS Modeler Workflows: EDUCBA
  • Sports Performance Analytics: University of Michigan
  • Practical Machine Learning: Johns Hopkins University
  • Microsoft Azure AI Fundamentals AI-900 Exam Guide: Packt
  • Introduction to Systems Engineering: UNSW Sydney (The University of New South Wales)
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Statistics for Genomic Data Science: Johns Hopkins University
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Financial Engineering and Risk Management: 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)

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