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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: New
    New
    Status: Free Trial
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    Coursera

    Verify Fixes and Analyze Quality Metrics

    Skills you'll gain: Verification And Validation, Software Quality Assurance, Software Quality (SQA/SQC), Debugging, Maintainability, Regression Testing, Quality Assurance, Data Quality, Issue Tracking, Root Cause Analysis, Business Intelligence, Jira (Software)

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

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

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    University of Pennsylvania

    Introduction to Spreadsheets and Models

    Skills you'll gain: Spreadsheet Software, Financial Modeling, Regression Analysis, Excel Formulas, Business Modeling, Simulation and Simulation Software, Operations Research, Microsoft Excel, Google Sheets, Probability Distribution, Analysis, Forecasting, Predictive Analytics, Risk Analysis, Statistical Methods, Data Analysis Software, Process Optimization, Decision Tree Learning

    4.2
    Rating, 4.2 out of 5 stars
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    3.9K reviews

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    UNSW Sydney (The University of New South Wales)

    Introduction to Systems Engineering

    Skills you'll gain: Systems Engineering, Conceptual Design, Systems Design, Requirements Analysis, Systems Development Life Cycle, Requirements Elicitation, Systems Architecture, Systems Integration, Engineering Design Process, System Design and Implementation, Concept Of Operations, Configuration Management, Prototyping, System Requirements, Design Reviews, Verification And Validation

    4.7
    Rating, 4.7 out of 5 stars
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    830 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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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    U

    University of California, Santa Cruz

    Bayesian Statistics: From Concept to Data Analysis

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistics, Statistical Modeling, Probability, Probability Distribution, Data Analysis, R Programming, Regression Analysis, R (Software), Microsoft Excel, Analytical Skills, Statistical Visualization, Predictive Modeling, Data Visualization, Data Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Logical Operations

    Advanced Python: Data Science, Testing, and Distribution

    Skills you'll gain: Data Cleansing, Data Preprocessing, Unit Testing, Package and Software Management, Python Programming, Data Science, Computer Programming, Debugging, Scripting, Software Development, Machine Learning, Database Application, Object Oriented Programming (OOP), Regression Analysis, Programming Principles, Scripting Languages, Databases, Object Oriented Design, Relational Databases, User Interface (UI) Design

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Optimizing Enterprise Testing with Functionize

    Skills you'll gain: AI Orchestration, Testability, Jenkins, Integration Testing, Test Engineering, Azure DevOps, AI Enablement, Continuous Deployment

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Advanced Tricentis Tosca Automation Strategies

    Skills you'll gain: API Testing, Test Automation, Test Case, Test Execution Engine, Application Programming Interface (API), Regression Testing, System Monitoring, Restful API, Continuous Integration, Scenario Testing, Debugging, Continuous Delivery, Jenkins, CI/CD, Test Data, Azure DevOps, Query Languages, Data Validation

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
    Free Trial
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    EDUCBA

    Capital Adequacy, Stress Scenarios, and Financial Resilience

    Skills you'll gain: Risk Modeling, Portfolio Risk, Risk Management, Bank Regulations, Operational Risk, Risk Analysis, Business Continuity, Business Risk Management, Financial Analysis, Financial Systems

    Mixed · Course · 1 - 3 Months

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

  • Verify Fixes and Analyze Quality Metrics: Coursera
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Introduction to Spreadsheets and Models: University of Pennsylvania
  • Build & Evaluate Decision Trees for ML: Coursera
  • Introduction to Systems Engineering: UNSW Sydney (The University of New South Wales)
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
  • Advanced Python: Data Science, Testing, and Distribution: Logical Operations
  • Optimizing Enterprise Testing with Functionize: Coursera

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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