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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
    U

    University of Illinois Urbana-Champaign

    Investments I: Fundamentals of Performance Evaluation

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

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    926 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Investments II: Lessons and Applications for Investors

    Skills you'll gain: Investments, Portfolio Management, Return On Investment, Performance Analysis, Finance, Equities, Behavioral Economics, Asset Management, Portfolio Risk, Tax Planning, Market Trend, Regression Analysis

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    884 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    ESSEC Business School

    Strategic Business Analytics

    Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Statistical Methods, Data Presentation, Predictive Analytics, Customer Analysis, Case Studies, Information Technology, Analytical Skills, Digital Transformation, Business Marketing, Advanced Analytics, Statistical Analysis, Communication, Customer Insights, Complex Problem Solving, R Programming, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.3K reviews

    Advanced · 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, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    607 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus through Data and Modelling

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    321 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    306 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Practical Data Science with MATLAB

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Supervised Learning, Dimensionality Reduction, Data Visualization, Data Integration, Data Preprocessing, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Classification Algorithms, Technical Communication, Data Analysis, Plot (Graphics), Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Epidemiology for Public Health

    Skills you'll gain: Epidemiology, Diagnostic Tests, Research Design, Public Health and Disease Prevention, Biostatistics, Clinical Research, Public Health, Preventative Care, Data Collection, Research Methodologies, Program Evaluation, Risk Analysis, Quantitative Research, Health Policy, Statistical Analysis, Research, Sample Size Determination, Regression Analysis, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    1.3K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Combining and Analyzing Complex Data

    Skills you'll gain: Statistical Analysis, Data Analysis Software, STATA (Software), Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Logistic Regression, Informed Consent

    4.2
    Rating, 4.2 out of 5 stars
    ·
    70 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Modeling for Data Science Applications

    Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Experimentation, Research Design, Statistical Methods, Data Science, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, A/B Testing, Quantitative Research, Machine Learning, Model Evaluation

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    60 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    CertNexus Certified Artificial Intelligence Practitioner

    Skills you'll gain: Model Evaluation, Data Ethics, Unsupervised Learning, Convolutional Neural Networks, Random Forest Algorithm, Data Preprocessing, Data Analysis, Regression Analysis, Responsible AI, Recurrent Neural Networks (RNNs), Classification Algorithms, Decision Tree Learning, Data Collection, AI Workflows, Regulatory Compliance, Business Ethics, Learning Strategies, Test Planning, Goal Setting, Productivity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    308 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Statistical Business Analyst

    Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    228 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
  • Investments II: Lessons and Applications for Investors: University of Illinois Urbana-Champaign
  • Strategic Business Analytics: ESSEC Business School
  • The Nuts and Bolts of Machine Learning: Google
  • Precalculus through Data and Modelling: Johns Hopkins University
  • Machine Learning Introduction for Everyone: IBM
  • Practical Data Science with MATLAB: MathWorks
  • Epidemiology for Public Health: Imperial College London
  • Combining and Analyzing Complex Data: University of Maryland, College Park
  • Statistical Modeling for Data Science Applications: University of Colorado Boulder

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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