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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 Michigan

    Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding

    Skills you'll gain: FinTech, Fundraising and Crowdsourcing, Banking Services, Financial Inclusion, Mobile Banking, Banking, Capital Markets, Retail Banking, Consumer Lending, Blockchain, Credit Risk, Financial Services, Loans, Entrepreneurial Finance, Commercial Lending, Logistic Regression

    4.7
    Rating, 4.7 out of 5 stars
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    311 reviews

    Beginner · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Business Analytics with Excel

    Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Network Model, Resource Allocation, Excel Macros, Business Analytics, Decision Making, Risk Analysis, Simulation and Simulation Software, Microsoft Excel, Business Risk Management, Strategic Decision-Making, Business Modeling, Financial Modeling, Data-Driven Decision-Making, Excel Formulas, Business, Spreadsheet Software, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    D

    Duke University

    Mastering Data Analysis in Excel

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Microsoft Excel, Excel Formulas, Classification Algorithms, Data-Driven Decision-Making, Business Analytics, Excel Macros, Data Analysis, Model Evaluation, Business Risk Management

    4.2
    Rating, 4.2 out of 5 stars
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    4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Regression Analysis, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Model Training, Artificial Intelligence, Deep Learning, Computer Vision, Transfer Learning, Application Development, Predictive Modeling, Model Deployment, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

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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, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    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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    D

    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Experience Design, Unsupervised Learning, Model Training, User Experience Design, Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Regression Analysis, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    U

    University of Pittsburgh

    Advanced Bayesian Methods and Applications

    Skills you'll gain: Bayesian Statistics, Data-Driven Decision-Making, Statistical Modeling, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Markov Model, Statistical Methods, Data Science, Health Informatics, Statistical Inference, Statistical Machine Learning, Statistical Programming, Regression Analysis, Statistical Analysis, Machine Learning, Machine Learning Algorithms, Python Programming, Probability Distribution, Computational Thinking

    Intermediate · Course · 1 - 3 Months

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    E

    Edureka

    Explainable AI (XAI)

    Skills you'll gain: Incident Management, Governance, Incident Response, Data Governance, Compliance Management, Policy Development, Risk Management, Governance Risk Management and Compliance, Risk Management Framework, Supplier Risk Management, Artificial Intelligence, Model Training, Statistical Methods, Analysis, Data Science, Model Optimization, Applied Machine Learning, Predictive Analytics, Machine Learning Methods, Python Programming

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    B

    Board Infinity

    Prepare for CFA Level 1: Investment & Financial Basics

    Skills you'll gain: Financial Statement Analysis, Working Capital, Financial Statements, International Finance, Capital Budgeting, Financial Analysis, Corporate Finance, Environmental Social And Corporate Governance (ESG), Financial Modeling, Ethical Standards And Conduct, Portfolio Management, Business Ethics, Portfolio Risk, Economics, Decision Making, Regression Analysis, Financial Policy, Business Economics, Quantitative Research, Investment Management

    Beginner · Specialization · 3 - 6 Months

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    N

    Northeastern University

    Software Testing for Engineers Part 2

    Skills you'll gain: Integration Testing, Software Testing, Software Quality Assurance, Code Coverage, Test Automation, White-Box Testing, Test Case, Test Tools, Regression Testing, Quality Assurance, Security Testing, Performance Testing, Usability Testing, Continuous Integration, Performance Metric, Graph Theory

    Mixed · 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, Investments, Applied Mathematics, Risk Modeling, Estimation, Capital Markets, Futures Exchange, Financial Modeling, Regression Analysis, Market Liquidity, Statistical Methods

    4.6
    Rating, 4.6 out of 5 stars
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    424 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    G
    N
    G
    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Machine Learning Software, Time Series Analysis and Forecasting, Applied Machine Learning, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management

    3.8
    Rating, 3.8 out of 5 stars
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    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding: University of Michigan
  • Business Analytics with Excel: Johns Hopkins University
  • Mastering Data Analysis in Excel: Duke University
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • AI Product Management: Duke University
  • Advanced Bayesian Methods and Applications: University of Pittsburgh
  • Explainable AI (XAI): Edureka
  • Prepare for CFA Level 1: Investment & Financial Basics: Board Infinity
  • Software Testing for Engineers Part 2: Northeastern 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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