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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.

Popular Logistic Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Investments I: Fundamentals of Performance Evaluation

    Skills you'll gain: Investment Management, Finance, Investments, Business Valuation, Portfolio Management, Financial Modeling, Financial Market, Equities, General Finance, Return On Investment, Regression Analysis, Portfolio Risk, Asset Management, Microsoft Excel, Risk Analysis, Performance Analysis, Cash Flows

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    941 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    M

    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Scientific Visualization, Plot (Graphics), Data Visualization, Predictive Modeling, Pareto Chart, Predictive Analytics, Model Optimization, Regression Analysis, A/B Testing, Statistical Modeling, Process Optimization, Statistical Software, Statistical Methods, Analysis, Data Analysis Software, Mathematical Modeling, R Programming, Data Analysis, Statistical Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    938 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Social Media Data Analytics

    Skills you'll gain: Social Media Analytics, Text Mining, Unstructured Data, Quantitative Research, Data Visualization, Statistical Analysis, Data Presentation, Data Analysis, Statistical Methods, Correlation Analysis, R (Software), Application Programming Interface (API), R Programming, Regression Analysis, Data Collection, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    299 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Software, Sampling (Statistics), Mathematical Modeling, Regression Analysis, R Programming, Simulations, Statistical Inference, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    497 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Software Testing

    Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, Test Case, Test Automation, Development Testing, Test Planning, Test Tools, White-Box Testing, Code Coverage, Software Quality Assurance, Functional Testing, Test Script Development, Systems Development Life Cycle, Test Data, Technical Communication

    4.3
    Rating, 4.3 out of 5 stars
    ·
    834 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus through Data and Modelling

    Skills you'll gain: Data Literacy, Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), R Programming, General Mathematics, Data Modeling, Algebra, Systems Of Measurement, Mathematical Software, Correlation Analysis, Regression Analysis, Calculus, Business Mathematics, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    330 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Statistical Machine Learning, Classification Algorithms, Data Preprocessing, Data Processing, Data Wrangling, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Model Evaluation, Data Science, Statistical Hypothesis Testing

    3.7
    Rating, 3.7 out of 5 stars
    ·
    62 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.5
    Rating, 4.5 out of 5 stars
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    316 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    AI-Powered Business Analysis: Excel, KPIs & GenAI

    Skills you'll gain: Excel Macros, Key Performance Indicators (KPIs), Prompt Engineering, Data Storytelling, Performance Measurement, Process Modeling, Regression Analysis, Business Metrics, Process Improvement, Continuous Improvement Process, Performance Analysis, Business Process Improvement, Performance Metric, ChatGPT, Microsoft Excel, Generative AI, Data Visualization, Business Analysis, Statistical Analysis, Business Intelligence

    4.5
    Rating, 4.5 out of 5 stars
    ·
    463 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    644 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Junior QA/Software Tester

    Skills you'll gain: Software Testing, Software Quality Assurance, Test Script Development, Test Automation, Acceptance Testing, Test Tools, Test Case, System Testing, Test Planning, Functional Testing, Quality Assurance, Issue Tracking, Test Data, Performance Stress Testing, Browser Compatibility, User Acceptance Testing (UAT), Quality Assurance and Control, Quality Assessment, Interviewing Skills, Quality Management Systems

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    CertNexus Certified Artificial Intelligence Practitioner

    Skills you'll gain: Model Evaluation, Classification And Regression Tree (CART), Data Ethics, Applied Machine Learning, Model Training, Unsupervised Learning, Convolutional Neural Networks, Random Forest Algorithm, Data Preprocessing, Data Analysis, Regression Analysis, Responsible AI, Recurrent Neural Networks (RNNs), Data Collection, Compliance Training, Regulatory Compliance, Test Tools, Learning Strategies, Test Planning, Goal Setting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    338 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

  • Investments I: Fundamentals of Performance Evaluation: University of Illinois Urbana-Champaign
  • Experimentation for Improvement: McMaster University
  • Social Media Data Analytics: University of Washington
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Introduction to Software Testing: University of Minnesota
  • Precalculus through Data and Modelling: Johns Hopkins University
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • Machine Learning Introduction for Everyone: IBM
  • AI-Powered Business Analysis: Excel, KPIs & GenAI: Coursera
  • The Nuts and Bolts of Machine Learning: Google

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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